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ORCIDIJCNN 2003: Portland, OR, USA
- Proceedings of the International Joint Conference on Neural Networks, IJCNN 2003, Portland, OR, USA, July 20 - 24, 2003. IEEE 2003, ISBN 0-7803-7898-9
- Earl K. Miller:
The prefrontal cortex: Categories, concepts, and executive control. 1 - Philip J. Kellman:
Perceptual processes that create objects from fragments. 2-7 - Stephen Grossberg:
Cortical dynamics of form perception. 8-10 - Stuart Anstis:
Moving in a fog: stimulus contrast affects the perceived speed and direction of motion. 11-15 - Ennio Mingolla:
Cortical dynamics of motion integration and segmentation. 16-21 - Mark Elshaw, Stefan Wermter, Peter Watt:
Self-organisation of language instruction for robot action control. 22-27 - Kyung-Joong Kim, Sung-Bae Cho:
Fusion of structure adaptive self-organizing maps using fuzzy integral. 28-33 - Jeongho Cho, José C. Príncipe, Mark A. Motter:
A local linear modeling paradigm with a modified counterpropagation network. 34-38 - Habtom W. Ressom, Dali Wang, Padma Natarajan:
Adaptive double self-organizing map and its application in gene expression data. 39-44 - Mehmet Kerem Müezzinoglu, Cüneyt Güzelis, Jacek M. Zurada:
A new design method for complex-valued multistate hopfield associative memory. 45-50 - Michael R. Johnson, José C. Príncipe:
A two-processing element adaptable linear oscillating recurrent system with single-weight plasticity. 51-54 - Marcello Pelillo:
Annealed imitation: fast dynamics for maximum clique. 55-60 - Guiseppe Grassi, Donato Cafagna:
Dynamic properties of a class of cellular neural networks: model, stability analysis and design method. 61-65 - Sung-Phil Kim, Justin C. Sanchez, Deniz Erdogmus, Yadunandana N. Rao, José C. Príncipe, Miguel A. L. Nicolelis:
Modeling the relation from motor cortical neuronal firing to hand movements using competitive linear filters and a MLP. 66-70 - Adam E. Gaweda, Alfred A. Jacobs, Michael E. Brier, Jacek M. Zurada:
Artificial neural network-based pharmacodynamic population analysis in chronic renal failure. 71-74 - Susan B. Garavaglia:
Identifying riskier combinations of risky behavior using a self-organizing map. 75-80 - Christoph Bauer, Fabian J. Theis, Wolfgang Bäumler, Elmar Wolfgang Lang:
Local features in biomedical image clusters extracted with independent component analysis. 81-84 - Jianyu Li, Siwei Luo, Yingjian Qi, Yaping Huang:
Numerical solution of elliptic partial differential equation by growing radial basis function neural networks. 85-90 - Ali Ghodsi, Dale Schuurmans:
Automatic basis selection for RBF networks using Stein's unbiased risk estimator. 91-95 - Mary M. Randolph-Gips, Nicolaos B. Karayiannis:
Cosine radial basis function neural networks. 96-101 - Keisuke Okamoto, Seiichi Ozawa, Shigeo Abe:
A fast incremental learning algorithm of RBF networks with long-term memory. 102-107 - Lap-Tak Law, Yiu-ming Cheung:
Color image segmentation using rival penalized controlled competitive learning. 108-112 - Vidya B. Manian, Ramón E. Vásquez:
Texture discrimination based on neural dynamics of visual perception. 113-118 - Sang-Woo Ban, Jang-Kyoo Shin, Minho Lee:
Face detection using biologically motivated saliency map model. 119-124 - Jens Teichert, Rainer Malaka:
An association architecture for the detection of objects with changing topologies. 125-130 - Harold Szu, Steven Noel, Seong-Bin Yim, Jefferson M. Willey, Joe Landa:
Protecting multimedia authenticity with ICA vaccination of digital bacteria watermarks. 131-136 - Monika Ray, Uvais Qidwai:
Artificial intelligence approach to determine minimum dose of haemodialysis. 137-142 - Teresa Bernarda Ludermir, Akio Yamazaki:
Neural networks for odor recognition in artificial noses. 143-148 - John T. Fletcher, Seong G. Kong:
Principal component analysis for poultry tumor inspection using hyperspectral fluorescence imaging. 149-153 - Alexandru G. Floares, Carmen Floares, Mihai Cucu, Lucian Lazar:
Adaptive neural networks control of drug dosage regimens in cancer chemotherapy. 154-159 - Sameer K. Antani, L. Rodney Long, George R. Thoma, Ronald Joe Stanley:
Vertebra shape classification using MLP for content-based image retrieval. 160-165 - Antonino Greco, Domenico Costantino, Francesco Carlo Morabito, Mario Versaci:
A Morlet wavelet classification technique for ICA filtered sEMG experimental data. 166-171 - Bruno Azzerboni, Giovanni Finocchio, Maurizio Ipsale, Fabio La Foresta, Francesco Carlo Morabito:
Time-frequency characterization of multi-channel dynamic sEMG recordings by neural networks. 172-176 - Federica Ciocchetta, Rossana Dell'Anna, Francesca Demichelis, Andrea Sboner, Amar Paul Dhillon, Arjun Dhillon, Andrew Godfrey, Alberto Quaglia:
Knowledge discovery in support of early diagnosis of hepatocellular carcinoma. 177-181 - Xiuwen Liu, Anuj Srivastava, DeLiang Wang:
On intrinsic generalization of low dimensional representations of images for recognition. 182-187 - Haoming Shen, Yoshifumi Shimodaira, Gosuke Ohashi:
Effects of temporal frequency on speed discrimination and perceived speed. 188-193 - Paolo Gastaldo, Rodolfo Zunino, Elena Vicario, Ingrid Heynderickx:
CBP neural network for objective assessment of image quality. 194-199 - Slawo Wesolkowski, M. Ed Jernigan:
Intensity-invariant color image segmentation using MPC algorithm. 200-205 - Hyeon-Cheol Lee, Yoonsuck Choe:
Detecting salient contours using orientation energy distribution. 206-211 - Rainer Spiegel, I. P. L. Mclaren:
Computational modeling of human performance in a sequence learning experiment. 212-217 - Gabriele Scheler, Johann Schumann:
Presynaptic modulation as fast synaptic switching: state-dependent modulation of task performance. 218-223 - Cengiz Günay, Anthony S. Maida:
Using temporal binding for connectionist recruitment learning over delayed lines. 224-229 - Patrick Simen, Thad A. Polk, Rick Lewis, Eric Freedman:
Universal computation by networks of model cortical columns. 230-235 - Peter Sussner:
Binary autoassociative morphological memories derived from the kernel method and the dual kernel method. 236-241 - Eiji Mizutani, James Weldon Demmel:
On sparsity-exploiting memory-efficient trust-region regularized nonlinear least squares algorithms for neural-network learning. 242-247 - Nian Zhang, Donald C. Wunsch II:
A comparison of dual heuristic programming (DHP) and neural network based stochastic optimization approach on collective robotic search problem. 248-253 - Bao Rong Chang:
A study of non-periodic short-term random walk forecasting based on RBFNN, ARMA, or SVR-GM(1,1|τ) approach. 254-259 - Paul Kang-Hoh Phua, Xiaotian Zhu, Chung Haur Koh:
Forecasting stock index increments using neural networks with trust region methods. 260-265 - Valentino Crespi, George Cybenko:
Decentralized algorithms for sensor registration. 266-271 - Daniel S. Levine, Britain Mills, Steven Estrada, Carson Clanton, Stephen Denton:
Modeling orbitofrontal involvement in decision making on a gambling task. 272-275 - Peter B. C. Fenwick, George K. Kostopoulos, Lichan Liu, Andreas A. Ioannides:
Consciousness and its correlates in awake condition, in different sleep stages and in epilepsy. 276-281 - Vahe Poghosyan, Tadahiko Shibata, Peter B. C. Fenwick, Lichan Liu, Andreas A. Ioannides:
Early striate activity related to attention in a choice reaction task. 282-286 - Andreas A. Ioannides, John G. Taylor:
Testing models of attention with MEG. 287-291 - John G. Taylor:
The CODAM model of attention and consciousness. 292-297 - John G. Taylor, Nickolaos F. Fragopanagos:
Simulations of attention control models in sensory and motor paradigms. 298-303 - Jie Zhang:
Multi-objective optimal control of batch processes using recurrent neuro-fuzzy networks. 304-309 - Josip Kasac, Branko Novakovic, Dubravko Majetic, Danko Brezak:
Stability analysis of fuzzy robot control without fuzzy rule base. 310-315 - Anne M. P. Canuto, Michael C. Fairhurst, Gareth Howells:
Enhancing multi-neural systems through the use of hybrid structures. 316-320 - Robert Nowicki, Rafal Scherer, Leszek Rutkowski:
A hierarchical neuro-fuzzy system based on S-implications. 321-325 - Peter Sussner:
A fuzzy autoassociative morphological memory. 326-331 - Mustafa C. Ozturk, José C. Príncipe, Bryan A. Davis, Deniz Erdogmus:
Simulation of the Freeman model of the olfactory cortex: a quantitative performance analysis for the DSP approach. 332-336 - Rogério de Oliveira, Luiz H. A. Monteiro:
Clustering in coupled maps on small-world networks. 337-340 - Agustin Gutierrez-Galvez, Ricardo Gutierrez-Osuna:
Coherent oscillations as a neural code in a model of the olfactory system. 341-346 - Haizhon Li, Robert Kozma:
A dynamic neural network method for time series prediction using the KIII model. 347-352 - Emílio Del Moral Hernandez:
Neural networks with chaotic recursive nodes: design of associative memories, performance analysis, and contrast with traditional Hopfield architectures. 353-358 - Edgar N. Sánchez, Luis J. Ricalde:
Trajectory tracking via adaptive recurrent control with input saturation. 359-364 - Özgür Türel, Ibrahim Muckra, Konstantin Likharev:
Possible nanoelectronic implementation of neuromorphic networks. 365-370 - Wen-Chia Yang, Li-Ju Lin, Chung-Yu Wu:
The design of a bionic sensory chip based on the CNN model derived from the Mammalian retina. 371-375 - Sirsha S. Karri, Albert H. Titus:
An analog VLSI system for computing depth from motion parallax. 376-380 - Steffen G. Hohmann, Johannes Schemmel, Felix Schürmann, Karlheinz Meier:
Predicting protein cellular localization sites with a hardware analog neural network. 381-386 - Seiji Kameda, Tetsuya Yagi:
An analog silicon retina with multi-chip configuration. 387-392 - Christian Kiesling:
The H1 neural network trigger. 393-398 - Meng-Hui Wang, Chin-Pao Hung:
Extension neural network. 399-403 - Ritaban Dutta, Evor L. Hines, Julian W. Gardner, Kishana Ram Kashwan, Manabendra Bhuyan:
Determination of tea quality by using a neural network based electronic nose. 404-409 - Jaewook Lee:
Global optimization for fast multilayer perceptron training. 410-414 - Alexander Hofmann, Bernhard Sick:
Evolutionary optimization of radial basis function networks for intrusion detection. 415-420 - Hao Jiang, Xin Feng:
Quantitative feature evaluation using hybrid neural network and fuzzy logic approach. 421-425 - Vassilis G. Kaburlasos, Stylianos E. Papadakis, Spyros Kazarlis:
A genetically optimized ensemble of is σ-FLNMAP neural classifiers based on non-parametric probability distribution functions. 426-431 - Chandrakumar Bhumireddy, C. L. Philip Chen:
Genetic learning of functional link networks. 432-437 - Nikola K. Kasabov, Qun Song, Ikuko Nishikanawa:
Evolutionary computation for dynamic parameter optimisation of evolving connectionist systems for on-line prediction of time series with changing dynamics. 438-443 - Francisco J. Maldonado, Michael T. Manry, Tae-Hoon Kim:
Finding optimal neural network basis function subsets using the Schmidt procedure. 444-449 - Di Wang, Narendra S. Chaudhari:
A multi-core learning algorithm for Boolean neural networks. 450-455 - Javid Taheri:
Solving the puzzle problem using Hopfield neural network in conjunction tree search algorithm. 456-461 - Maiga Chang, Jia-Sheng Heh:
Implementing evolutionary self-organizing maps with the genetic of graph evolution theory. 462-467 - Venu G. Gudise, Ganesh K. Venayagamoorthy:
Evolving digital circuits using particle swarm. 468-472 - Mark Schaefer, Werner Dilger:
Representation and training of vector graphics with NRAAM networks. 473-477 - Paulito P. Palmes, Taichi Hayasaka, Shiro Usui:
Evolution and adaptation of neural networks. 478-483 - Kaizhu Huang, Irwun King, Michael R. Lyu:
Discriminative training of Bayesian Chow-Liu multinet classifiers. 484-488 - Pravin Chandra, Yogesh Singh:
Fault tolerance of feedforward artificial neural networks- a framework of study. 489-494 - Jean-Pierre Vila, Vivien Rossi:
Multioutput feedforward neural network selection: a Bayesian approach. 495-500 - Masaharu Takada, Ryohei Nakano:
Threshold-based dynamic annealing for multi-thread DAEM and its extreme. 501-506 - Rhee Man Kil, Imhoi Koo:
True risk bounds for the regression of real-valued functions. 507-512 - Rong-bo Huang, Yiu-ming Cheung, Lap-Tak Law:
A divide-and-conquer based radial basis function network with application to recurrent modelling. 513-516 - Ralf Kretzschmar, Nicolaos B. Karayiannis, Fritz Eggimann:
Handling class overlap with variance-controlled neural networks. 517-522 - Robert Jenssen, Kenneth E. Hild II, Deniz Erdogmus, José C. Príncipe, Torbjørn Eltoft:
Clustering using Renyi's entropy. 523-528 - Ryotaro Kamimura, Osamu Uchida:
Faithful feature extraction by greedy network-growing algorithm. 529-534 - Blaga N. Iordanova:
How hierarchies of objects and constraints reduce complexity. 535-540 - Yoshio Mori, Katsuhiro Honda, Akihiro Kanda, Hidetomo Ichihashi:
A unified view of probabilistic PCA and regularized linear fuzzy clustering. 541-546 - Wayne H. Slade Jr., Richard L. Miller, Habtom W. Ressom, Padma Natarajan:
Ensemble neural network methods for satellite-derived estimation of chlorophyll α. 547-552 - Stefan Krause, Robi Polikar:
An ensemble of classifiers approach for the missing feature problem. 553-558 - Jean-Philippe Thivierge, François Rivest, Thomas R. Shultz:
A dual-phase technique for pruning constructive networks. 559-564 - Hyunjung Shin, Sungzoon Cho:
How many neighbors to consider in pattern pre-selection for support vector classifiers? 565-570 - Gao Daqi, Chengyin Li, Changwu Li:
Modular adaptive RBF-type neural networks for letter recognition. 571-576 - V. Shiv Naga Prasad, Bayya Yegnanarayana, Sunitha Guruprasad:
A novel vector quantizer for pattern classification tasks. 577-581 - Mario G. López-Benavides, Sandhya Samarasinghe, Jonathan Hickford:
The use of artificial neural networks to diagnose mastitis in dairy cattle. 582-55 - Lale Özyilmaz, Tulay Yildirim:
Artificial neural networks for diagnosis of hepatitis disease. 586-589 - S. Srirangam, Habtom W. Ressom, Padma Natarajan, Mohamad T. Musavi, R. W. Virnstein, L. J. Morris, W. Tweedale:
Neural network-based estimation of light attenuation coefficient. 590-595 - Dimitrios A. Karras, Basil G. Mertzios, Danielle Graveron-Demilly, Dirk van Ormondt:
Improved Bayesian MRI reconstruction involving neural priors based on a regularization approach. 596-600 - Anke Meyer-Bäse, Dorothee Auer, Axel Wismüller:
Topographic independent component analysis for fMRI signal detection. 601-605 - Amy J. O'Brien:
Comparison and hybridization of neural networks and fuzzy logic in biomedical applications. 606-611 - Carlos A. Silva, Kaiser M. C. Magalhaes, Adrião D. Dória Neto:
An intelligent system for detection of nematodes in digital images. 612-615 - Yu-Te Wu, Yi-Hsuan Kao, Wan-Yuo Guo, Tzu-Chen Yeh, Jen-Chuen Hsieh, Michael Mu Huo Teng:
Classifying hemodynamics of MR brain perfusion images using independent component analysis (ICA). 616-621 - Zhengmao Ye, Gregory Auner, Prasad Manda:
Raman spectra calibration, extraction and neural network based training for sample identification. 622-626 - S. Colak, Can Isik:
Systolic blood pressure classification. 627-630 - Pornchai Chanyagorn, Harold H. Szu, Ivica Kopriva:
Application of biomimetics intelligence for smart sensor surveillance system in legacy powerline network. 631-635 - Norbert Jankowski:
Discrete feature weighting & selection algorithm. 636-641 - Myeonghee Kim, Nohutoma Matsunaga, Shigeyasu Kawaji:
Estimation of cutting torque in drilling system based on flexible neural network. 642-647 - Constantinos C. Neocleous, Christos N. Schizas:
Neural networks in comparing USN and Wageningen B-Series marine propellers. 648-653 - Arpad Kelemen, Yulan Liang:
Bayesian regularized neural network for multiple gene expression pattern classification. 654-659 - Nils Goerke:
Quo Vadis neurocomputing? Neural computation at the edge to new perspectives. 660-665 - Sageev T. George, Alireza A. Dibazar, Vishal Desai, Theodore W. Berger:
Using dynamic synapse based neural networks with wavelet preprocessing for speech applications. 666-669 - Yousef Ajami Alotaibi:
High performance Arabic digits recognizer using neural networks. 670-674 - Amit Juneja, Carol Y. Espy-Wilson:
Speech segmentation using probabilistic phonetic feature hierarchy and support vector machines. 675-679 - Kim Weaver, Khurram Waheed, Fathi M. Salem:
An entropy based robust speech boundary detection algorithm for realistic noisy environments. 680-685 - Suryakanth V. Gangashetty, K. Sreenivasa Rao, A. Nayeemulla Khan, C. Chandra Sekhar, Bayya Yegnanarayana:
Combining evidence from multiple modular networks for recognition of consonant-vowel units of speech. 686-691 - Sunitha Guruprasad, N. Dhananjaya, Bayya Yegnanarayana:
AANN models for speaker recognition based on difference cepstrals. 692-697 - Terje Kristensen, Bernd Treeck, Ronny Falck-Olsen:
Phoneme transcription based on Sampa for Norwegian. 698-703 - Yaping Huang, Siwei Luo:
Genetic algorithm applied to ICA feature selection. 704-707 - Angelo Ciaramella, Roberto Tagliaferri:
Amplitude and permutation indeterminacies in frequency domain convolved ICA. 708-713 - Hiroshi Saruwatari, Hiroaki Yamajo, Tomoya Takatani, Tsuyoki Nishikawa, Kiyohiro Shikano:
Parallel structured independent component analysis for SIMO-model-based blind separation and deconvolution of convolutive speech mixture. 714-719 - Fernando Rojas, Manuel Rodríguez Álvarez, Moisés Salmerón, Carlos García Puntonet, Rubén Martín-Clemente:
Adaptive and heuristic approaches for nonlinear source separation. 720-725 - Rubén Martín-Clemente, Susana Hornillo-Mellado, José I. Acha, Carlos García Puntonet:
Neural net with two hidden layers for non-linear blind source separation. 726-731 - Katsuhiro Honda, Nobukazu Sugiura, Hidetomo Ichihashi:
Robust local principal component analyzer with fuzzy clustering. 732-737 - Tianping Chen, Wenlian Lu:
Stability analysis of blind signals separation algorithms. 738-741 - Xiuwen Liu, Aruj Srivastava:
Integrated learning of linear representations. 742-746 - Harold Szu, Ivica Kopriva:
Cauchy machine for blind inversion in linear space-variant imaging. 747-752 - Jose M. Barbalho, José Alfredo F. Costa, Adrião D. D. Neto, Márcio Luiz De Andrade Netto:
Hierarchical and dynamic SOM applied to image compression. 753-758 - Beiwei Lu, William W. Hsieh:
Simplified nonlinear principal component analysis. 759-763 - Jing Lan, José C. Príncipe, Mark A. Motter:
Identification of dynamical systems using GMM with VQ initialization. 764-768 - Radu Mutihac, Marc M. Van Hulle:
PCA and ICA neural implementations for source separation - a comparative study. 769-774 - Khurram Waheed, Fathi M. Salem:
Algebraic independent component analysis: an approach for separation of overcomplete speech mixtures. 775-780 - Bin Tang, Malcolm I. Heywood, Michael A. Shepherd:
The self-organization by lateral inhibition model: validation of clustering. 781-786 - Hiroki Sasamura, Toshimichi Saito:
A simple learning algorithm for growing self-organizing maps and its application to the skeletonization. 787-790 - Francesco Masulli, Stefano Rovetta:
The graded possibilistic clustering model. 791-796 - João B. O. Souza Filho, Luiz Pereira Calôba, José Manoel de Seixas:
An accurate and fast neural method for PCA extraction. 797-802 - Sitao Wu, Tommy W. S. Chow:
Support vector visualization and clustering using self-organizing map and vector one-class classification. 803-808 - Thaddeus T. Shannon, David Abercrombie, James McNames:
Modeling CMOS gate characteristics using independent component analysis. 809-813 - Marc Girot-Genet, Alain Pétrowski:
Sunspot number prediction by a conditional distribution discrimination tree. 814-819 - Wanfeng Zhang, Yingchun Yang, Zhaohui Wu:
Exploiting PCA classifiers to speaker recognition. 820-823 - Jun Nishikawa, Kazutoshi Gohara:
A hybrid dynamical system as an automaton on the fractal set. 825-830 - Marko Puljic, Robert Kozma:
Phase transitions in a probabilistic cellular neural network model having local and remote connections. 831-835 - Zhengping Liu, John P. Castanga:
Function complexity estimation and its application to the optimum tie of geophysical data using Anns. 836-840 - Liang Zhao, Juan C. G. Cáceres, Harold Szu:
Chaotic associative recalls for fixed point attractor patterns. 841-845 - Yuko Osana:
Improved chaotic associative memory using distributed patterns for image retrieval. 846-851 - Yoshitsugu Kakemoto, Shinichi Nakasuka:
Incremental learning by VSF network and its chaotic effects. 852-857 - Sang-Hee Kim, Won Woo Park:
Convergence analysis of chaotic dynamic neuron. 858-863 - Masaya Ohta, Katsumi Yamashita:
A chaotic neural network for reducing the peak-to-average power ratio of multicarrier modulation. 864-868 - J. P. Barnard, Chris Aldrich:
Diagnostic monitoring of internal combustion engines by use of independent component analysis and neural networks. 869-872 - Satoshi Matsuda:
Yet another "optimal" neural representation for combinatorial optimization. 873-878 - Yongling Zheng, Longhua Ma, Ji-xin Qian:
A neural network model for general minimax problem. 879-884 - Takeshi Kamio, Mititada Morisue:
A synthesis procedure for associative memories using cellular neural networks with space-invariant cloning template library. 885-890 - Pavlo V. Tymoshchuk, Eugenius Kaszkurewicz:
A winner-take-all circuit based on second order Hopfield neural networks as building blocks. 891-896 - Kazuyoshi Tsutsumi:
Relaxing in a warped space: an effect due to the cooperation of static and dynamical neurons. 897-901 - Changyin Sun, Derong Liu, Chun-Bo Feng:
New results on exponential periodicity of delayed neural networks. 902-907 - Rainer Spiegel:
Relating Bayesian learning to training in recurrent networks. 908-913 - James T. Lo, Devasis Bassu:
Adaptive parallel identification of dynamical systems by adaptive recurrent neural networks. 914-918 - David Al-Dabass, David J. Evans, Siva Sivayoganathan:
Implicit de-noising in hybrid recurrent nets for meta knowledge abduction. 919-923 - Donato Cafagna, Giuseppe Grassi:
Two-cell cellular neural networks: generation of new hyperchaotic multiscroll attractors. 924-929 - Jianjun Xu, Mustapha C. E. Yagoub, Runtao Ding, Qi-Jun Zhang:
Feedforward dynamic neural network technique for modeling and design of nonlinear telecommunication circuits and systems. 930-935 - Senthil Kumar Ganapathy, Albert H. Titus:
Toward an analog VLSI implementation of adaptive resonance theory (ART2). 936-941 - Takuya Taniguchi, Yoshihiko Horio, Kazuyuki Aihara:
Integrated pulse neuron circuit for asynchronous pulse neural networks. 942-947 - Jian Xu, Weijun Li, Yanfeng Qu, Hong Qin, Shoujue Wang:
Architecture research and hardware implementation on simplified neural computing system for face identification. 948-952 - Chan-Mo Kim, Kwang-Ho Choi, Yong B. Cho:
Hardware design of CMAC neural network for control applications. 953-958 - Massimiliano Bracco, Sandro Ridella, Rodolfo Zunino:
A model-selection approach to the VLSI design of vector quantizers. 959-964 - Vladimir A. Gorelik:
Silicon approximation to biological neuron. 965-970 - Dong Pan, Bogdan M. Wilamowski:
A VLSI implementation of mixed-signal mode bipolar neuron circuitry. 971-976 - Stéphane Badel, Alexandre Schmid, Yusuf Leblebici:
A VLSI Hamming artificial neural network with k-winner-take-all and k-loser-take-all capability. 977-982 - Kazuki Nakada, Tetsuya Asai, Yoshihito Amemiya:
An analog neural oscillator circuit for locomotion controller in quadruped walking robot. 983-988 - Valeriu Beiu:
A survey of perceptron circuit complexity results. 989-994 - Changjian Gao, Dan Hammerstrom:
Platform performance comparison of PALM network on Pentium 4 and FPGA. 995-1000 - Vikramjit Mitra, Chia-Jiu Wang, George Edwards:
Neural network for LIDAR detection of fish. 1001-1006 - C. Kezi Selva Vijila, S. Renganathan, Stanley Johnson:
Suppression of maternal ECG from fetal ECG using neuro fuzzy logic technique. 1007-1012 - Yasuo Saito, Toshiharu Hatanaka, Katsuji Uosaki, Kazuhide Shigeto:
Eggplant classification using artificial neural network. 1013-1018 - Habtom W. Ressom, S. K. Fyfe, Padma Natarajan, S. Srirangam:
Monitoring seagrass health using neural networks. 1019-1024 - Oliver Buchtala, Peter Neumann, Bernhard Sick:
A strategy for an efficient training of radial basis function networks for classification applications. 1025-1030 - Ramesh Kumar Gautam, Suranjan Panigrah:
Image processing techniques and neural network models for predicting plant nitrate using aerial images. 1031-1036 - Bingchen Wang, Sigeru Omatu, Toshiro Abe:
Failure analysis of transmission devices using self-organizing map. 1037-1042 - Chiu Kuo-Chuang:
Application of neural network on LTCC fine line screen printing process. 1043-1047 - Haruhiko Takase, Hidehiko Kita, Tetumine Hayashi:
Effect of regularization term upon fault tolerant training. 1048-1053 - Cuimei Bo, J. Li, Changyin Sun, Y. R. Wang:
The application of neural network soft sensor technology to an advanced control system of distillation operation. 1054-1058 - Marilyn L. Vaughn, J. G. Franks:
Explaining how a multi-layer perceptron predicts helicopter airframe load spectra from continuously valued flight parameter data. 1059-1064 - Zvi Boger, Douglas C. Meier, Richard E. Cavicchi, Steve Semancik:
Artificial neural networks methods applied to conductometric microhotplate data for the identification of the type and relative concentration of chemical warfare agents. 1065-1070 - Dimitrios A. Karras, Vasilis Zorkadis:
Neural network based benchmarks in the quality assessment of message digest algorithms for digital signatures based secure Internet communications. 1076-1080 - Po-Lei Lee, Yu-Te Wu, L. F. Chen, S. S. Chen, T. C. Yeh, L. T. Ho, Jen-Chuen Hsieh:
Single-trial analysis of post-movement MEG beta synchronization using independent component analysis (ICA). 1081-1085 - Jaime Salazar, Marc Robinson, Mahmood R. Azimi-Sadjadi:
A hybrid HMM-neural network with gradient descent parameter training. 1086-1091 - Kenji Nakayama, Akihiro Hirano, Akihide Horita:
A learning algorithm with adaptive exponential stepsize for blind source separation of convolutive mixtures with reverberations. 1092-1097 - De-Shuang Huang, Horace H. S. Ip, Ken C. K. Law, Hau-San Wong:
Finding the ordered roots of arbitrary polynomials using constrained partitioning neural networks. 1098-1103 - Yinggang Du, Kam Tai Chan:
Improved multiuser detectors employing genetic algorithms in a space-time block coding system. 1104-1109 - Barbara Colaiocco, Francesco Piazza:
A music retrieval system based on the extraction of non trivial recurrent themes and neural classification. 1110-1115 - Peng Xu, Andrew K. Chan:
Support vector machines for multi-class signal classification with unbalanced samples. 1116-1119 - Richard Stuart Neville:
Inheritance of information in multi-layer sigma-pi neural networks. 1120-1125 - Simona Doboli, Gaurav Gothoskar, Alex Doboli:
Piecewise-linear modeling of analog circuits using trained feed-forward neural networks and adaptive clustering of hidden neurons. 1126-1131 - David J. Bescoby, Gavin C. Cawley, P. Neil Chroston:
Interpretation of geophysical surveys of archaeological sites using artificial neural networks. 1132-1137 - Evgeny E. Dudnikov:
Solving quadratic programming problems with linear Hopfield networks. 1138-1142 - Vladimir Cherkassky, Yunqian Ma, Jun Tang:
Model selection for k-nearest neighbors regression using VC bounds. 1143-1148 - Dirk Feiden, Ronald Tetzlaff:
Binary image coding using cellular neural networks. 1149-1152 - Pedro H. G. Coelho, Luiz Biondi Neto:
Acoustic recurrent neural networks echo cancellers. 1153-1156 - Sanjay V. Dudul, Ashok A. Ghatol:
Identification of a typical CD player arm using a two-layer perceptron neural network model. 1157-1162 - Morteza Saheb Zamani, Masoud Soleimani:
Rectilinear floorplanning of FPGAs using Kohonen map. 1163-1167 - Chi Fuk So, Sin Chun Ng, Shu-Hung Leung:
RLS lattice algorithm using gradient based variable forgetting factor. 1168-1172 - Daqi Gao, Haijun Zhu, Guping Nie:
On the transformation mechanisms of multilayer perceptrons with sigmoid activation functions for classifications. 1173-1178 - Bo Yu, Liming Zhang:
Pulse coupled neural network for motion detection. 1179-1184 - Ming-Jung Seow, Vijayan K. Asari:
High performance associative memory with distance based training algorithm for character recognition. 1185-1188 - Jianguo Xin, Mark J. Embrechts:
Simulation of the visual cortex with laterally connected spiking neural networks. 1189-1194 - Mario I. Chacon, Alejandro S. Zimmerman:
License plate location based on a dynamic PCNN scheme. 1195-1200 - Jahangheer Shaik, Khan M. Iftekharuddin:
Automated tracking and classification of infrared images. 1201-1206 - Diego de Miranda Gomes, Wedson T. de Almeida Filho, Adrião D. Dória Neto:
A method for selective color images compression. 1207-1212 - Jeong Ha Kim, Hyoung Bae Kim, Boo Hee Nam:
Real-time image transmission on the TCP/IP network using wavelet transform and neural network. 1213-1218 - Young-Hyun Baek, Oh-Sung Byun, Sung-Rung Moon:
Image edge detection using adaptive morphology Meyer wavelet-CNN. 1219-1222 - Nihan Coskun, Tulay Yildirim:
The effects of training algorithms in MLP network on image classification. 1223-1226 - Seiki Yoshimori, Yasue Mitsukura, Minoru Fukumi, Norio Akamatsu:
A design of the object detection system using the RGA. 1227-1231 - Jonathan Robinson, Vojislav Kecman:
Exploitation of sparse properties of support vector machines in image compression. 1232-1236 - Brijesh Verma, Vallipuram Muthukkumarasamy, Changming He:
Unsupervised clustering of texture features using SOM and Fourier transform. 1237-1242 - Dianhui Wang, Alex Talevski, Tharam S. Dillon:
Edge-preserving nonlinear image restoration using adaptive components-based radial basis function neural networks. 1243-1248 - Oliver Baruth, Rolf Eckmiller, Dirk Neumann:
Retina encoder tuning and data encryption for learning retina implants. 1249-1252 - Hironori Takimoto, Yasue Mitsukura, Minoru Fukumi, Norio Akamatsu:
Face detection and emotional extraction system using double structure neural network. 1253-1257 - Ali Ahmadi, Sigeru Omatu, Toshihisa Kosaka:
A reliable method for recognition of paper currency by approach to local PCA. 1258-1262 - Christopher A. Waring, Xiuwen Liu:
Spectral histogram based face detection. 1263-1267 - Noriji Kato, Hitoshi Ikeda, Hirotsugu Kashimura, Masaaki Shimizu:
Scaling, rotation, and translation invariant image recognition using competing multiple subspaces. 1268-1273 - Garrett T. Kenyon, James Theiler, David W. Marshak, Bartlett Moore, Janelle Jeffs, Bryan J. Travis:
Firing correlations improve detection of moving bars. 1274-1279 - David R. Arellano-Baez, Edgar N. Sánchez, Flavio Augusto Prieto Ortíz:
Location of coffee beans using Hopfield-type neural network. 1280-1283 - Hazem M. El-Bakry:
Comments on using MLP and FFT for fast object/face detection. 1284-1288 - Vladimir Vapnik:
Empirical inference problems. 1289 - T. P. Mann, Christian J. Eggen, Warren L. J. Fox, David W. Krout, Gregory Anderson, Mohamed A. El-Sharkawi, Robert J. Marks II:
Orthogonal transformation of output principal components for improved tolerance to error. 1290-1294 - Jae-Byung Jung, James H. Jacobs, George A. Dowding, Patrick K. Simpson:
Initial species discrimination experiments with riverine salmonids. 1295-1300 - Benjamin B. Thompson, Robert J. Marks II, Mohamed A. El-Sharkawi, Warren L. J. Fox, Robert T. Miyamoto:
Inversion of neural network underwater acoustic model for estimation of bottom parameters using modified particle swarm optimizers. 1301-1306 - Jae-Byung Jung, James H. Jacobs, Gerald F. Denny, Patrick K. Simpson:
Broadband sonar target classification: pool experiments. 1307-1312 - Ali Pezeshki, Mahmood R. Azimi-Sadjadi, Louis L. Scharf:
A canonical coordinate decomposition network. 1313-1317 - Fabian J. Theis, Carlos García Puntonet, Elmar Wolfgang Lang:
SOMICA - an application of self-organizing maps to geometric independent component analysis. 1318-1323 - Lei Cheng, Xiuwen Liu:
Sparse linear representations for recognition. 1324-1327 - Randal A. Koene, Robert C. Cannon, Michael E. Hasselmo:
Goal-directed spatial navigation of the rat depends on phases of theta oscillation in hippocampal circuitry. 1328-1333 - Horatiu Voicu:
Building and using a hierarchical representation of space. 1334-1339 - Rodrigo Calvo, Maurício F. Figueiredo:
Reinforcement learning for hierarchical and modular neural network in autonomous robot navigation. 1340-1345 - Shaojuan Zhu, Dan Hammerstrom:
Reinforcement learning in associative memory. 1346-1350 - Marco Gori, Marco Maggini, Lorenzo Sarti:
A recursive neural network model for processing directed acyclic graphs with labeled edges. 1351-1355 - Fausto Acernese, Fabrizio Barone, Rosario De Rosa, Antonio Eleuteri, Leopoldo Milano, Roberto Tagliaferri:
A hierarchical Bayesian learning scheme for autoregressive neural networks. 1356-1360 - N. Alberto Borghese, Stefano Ferrari, Vincenzo Piuri:
Real-time surface meshing through HRBF networks. 1361-1366 - Dimitrios A. Karras, Vasilis Zorkadis:
Improving pseudorandom bit sequence generation and evaluation for secure Internet communications using neural network techniques. 1367-1372 - Walter J. Freeman:
A neurobiological theory of meaning in perception. 1373-1378 - Lokendra Shastri:
The role of temporal coding in the processing of relational information in the mind-brain. 1379-1384 - Peter Andras:
Understanding neural computation in terms of pattern languages. 1385-1390 - Hiroyuki Torikai, Toshimichi Saito:
On a pulse-coupled network of spiking neurons having quantized state. 1391-1395 - Gail A. Carpenter:
Default ARTMAP. 1396-1401 - Louis Massey:
Evaluating quality of text clustering with ART1. 1402-1407 - Samuel A. Mulder, Donald C. Wunsch II:
Using adaptive resonance theory and local optimization to divide and conquer large scale traveling salesman problems. 1408-1411 - Sin Wee Lee, Dominic Palmer-Brown, Jonathan A. Tepper, Chris M. Roadknight:
Snap-drift: real-time, performance-guided learning. 1412-1416 - Martin V. Butz, Sylvian R. Ray:
Bidirectional ARTMAP: an artificial mirror neuron system. 1417-1422 - David P. Casasent, Xue-wen Chen:
Confidence-clustering supervised radial basis function neural networks. 1423-1428 - Ganesh Arulampalam, Abdesselam Bouzerdoum:
A generalized feedforward neural network classifier. 1429-1434 - Shen-Shyang Ho, Harry Wechsler:
Transductive confidence machine for active learning. 1435-1440 - Francisco Javier López Aligué, M. Isabel Acevedo Sotoca, Carlos J. García Orellana, Horacio M. González Velasco:
Associative memories for handwritten pattern recognition. 1441-1446 - Yadunandana N. Rao, Deniz Erdogmus, José C. Príncipe:
Error whitening criterion for linear filter estimation. 1447-1452 - Jong-Hwan Lee, Soo-Young Lee:
Blind dereverberation of speech signals using independence transform matrix. 1453-1457 - E. Corinti, V. Amadio, Giovanni Tummarello, Francesco Piazza:
Employing adaptive functions and maximum entropy principle for nonlinear blind source deconvolution. 1458-1463 - Anthony Zaknich:
An adaptive sub-space filter model. 1464-1468 - William B. Levy:
Some dynamics arising from learning in a hippocampal model. 1469 - Michael E. Hasselmo:
Theta theory: Requirements for encoding events and task rules explain theta phase relationships in hippocampus and neocortex. 1470-1475 - Robert Kozma, Prashant Ankaraju:
Learning spatial navigation using chaotic neural network model. 1476-1479 - Yoonsuck Choe:
Processing of analogy in the thalamocortical circuit. 1480-1485 - Marco Gilli, Fernando Corinto, Pier Paolo Civalleri:
Design and synthesis methods for cellular neural networks. 1486-1491 - Gergely Tímár, Dávid Bálya, István Szatmári, Csaba Rekeczky:
Feature guided visual attention with topographic array processing and neural network-based classification. 1492-1496 - Chiu-Hung Cheng, Sheng-Hao Chen, Li-Ju Lin, Kuan-Hsun Huang, Chung-Yu Wu:
A new structure of large-neighborhood cellular nonlinear network (LN-CNN). 1497-1501 - Mika Laiho, Asko Kananen, Ari Paasio, Kari Halonen:
High speed cellular array computer realizations for low power applications. 1502-1505 - Bertram E. Shi:
Cortically-inspired visual processing with a four layer cellular neural network. 1506-1511 - Ju Jiang, Chunlin Zhang, Mohamed Kamel:
RBF-based real-time hierarchical intrusion detection systems. 1512-1516 - Lai-Ping Wong, Alex Leng Phuan Tay:
Centroid stability with K-means fast learning artificial neural networks. 1517-1522 - Dingsheng Luo, Ke Chen:
Refine decision boundaries of a statistical ensemble by active learning. 1523-1528 - Thomas Zheng:
Invariant feature representation by sparse vectors using adaptive subspace self-organizing map. 1529-1534 - Pingan He, Sarangapani Jagannathan:
Neuro emission controller for minimizing cyclic dispersion in spark ignition engines. 1535-1540 - James T. Lo:
Mathematical underpinning of adaptive capability of recurrent neural network with fixed weights. 1541-1546 - Kenji Takao, Toru Yamamoto, Takao Hinamoto:
A design of model driven cascade PID controllers using a neural network. 1547-1552 - James T. Lo, Feng Li, Devasis Bassu:
Adaptive series-parallel identification of dynamical systems with uncertain bifurcations and chaos. 1553-1557 - Patricia Melin, Oscar Castillo:
Intelligent control of non-linear plants using type-2 fuzzy logic and neural networks. 1558-1562 - Reinhard Eckhorn, Alexander Gail, Andreas Bruns, Basim Al-Shaikhli:
Dynamic cortical cooperation related to visual perception. 1563-1568 - Liang Zhao, Antonio P. G. Damiance, Rogerio A. Furukawa, André C. P. L. F. de Carvalho:
A dynamical model for multi-scale pixel clustering. 1569-1573 - DeLiang Wang:
Monaural speech segregation and oscillatory correlation. 1574 - Peter Cariani:
Recurrent timing nets for auditory scene analysis. 1575-1580 - Yunqian Ma, Vladimir Cherkassky:
Multiple model classification using SVM-based approach. 1581-1586 - Davide Anguita, Sandro Ridella, Fabio Rivieccio, Rodolfo Zunino:
Training support vector machines: a quantum-computing perspective. 1587-1592 - Ulrich Paquet, Andries Petrus Engelbrecht:
Training support vector machines with particle swarms. 1593-1598 - Daisuke Tsujinishi, Shigeo Abe:
Fuzzy least squares support vector machines. 1599-1604 - Thimaporn Phetkaew, Boonserm Kijsirikul, Wanchai Rivepiboon:
Reordering adaptive directed acyclic graphs: an improved algorithm for multiclass support vector machines. 1605-1610 - Chao Yuan, David P. Casasent:
Support vector machines for class representation and discrimination. 1611-1616 - Hirotaka Nakayama, Masao Arakawa, Koji Washino:
Using support vector machines in optimization for black-box objective functions. 1617-1622 - Mitra Basu, Jon Timmis, Dipankar Dasgupta, Daniel D. Lee, Guang R. Gao, Kwabena A. Boahen:
Biologically motivated computational models. 1623 - David W. Sullivan, William B. Levy:
Synaptic modification of interneuron afferents in a hippocampal CA3 model prevents activity oscillations. 1625-1630 - Kurt E. Mitman, Patryk A. Laurent, Willilam B. Levy:
Defining time in a minimal hippocampal CA3 model by matching time-span of associative synaptic modification and input pattern duration. 1631-1636 - Anatoli Gorchetchnikov, Michael E. Hasselmo:
Timing of consecutive traveling pulses in a model of entorhinal cortex. 1637-1642 - Simona Doboli, Ali A. Minai:
Latent attractor selection for variable length episodic context stimuli with distractors. 1643-1648 - Kiyomi Nakamura, J. Nitta, Hironobu Takano, M. Yamazaki:
Consecutive face recognition by association cortex-entorhinal cortex-hippocampal formation modal. 1649-1654 - Joseph D. Monaco, William B. Levy:
T-maze training of a recurrent CA3 model reveals the necessity of novelty-based modulation of LTP in hippocampal region CA3. 1655-1660 - Catarina Silva, Bemardete Ribeiro:
The importance of stop word removal on recall values in text categorization. 1661-1666 - Mark Schaefer, Werner Dilger:
Training and holistic computation of vector graphics with Hebbian bases in contrast to RAAM networks. 1667-1672 - Mariana Araujo, Jose Aguilar, Hugo Aponte:
Fault detection system in gas lift well based on artificial immune system. 1673-1677 - Donald E. Goodman Jr., Lois C. Boggess, Andrew B. Watkins:
An investigation into the source of power for AIRS, an artificial immune classification system. 1678-1683 - Ji He, Ah-Hwee Tan, Chew Lim Tan:
Self-organizing neural networks for efficient clustering of gene expression data. 1684-1689 - Heyjin Kim, Seungjin Choi, Sung Yang Bang:
Membership scoring via independent feature subspace analysis for grouping co-expressed genes. 1690-1695 - Rui Xu, Donald C. Wunsch II:
Probabilistic neural networks for multi-class tissue discrimination with gene expression data. 1696-1701 - Chanho Park, Sung-Bae Cho:
Genetic search for optimal ensemble of feature-classifier pairs in DNA gene expression profiles. 1702-1707 - Hong-Hee Won, Sung-Bae Cho:
Paired neural network with negatively correlated features for cancer classification in DNA gene expression profiles. 1708-1713 - Barbara Comes, Arpad Kelemen:
Probabilistic neural network classification for microarraydata. 1714-1717 - Terje Kristensen, Ruben Patel:
Classification of eukaryotic and prokaryotic cells by a backpropagation network. 1718-1723 - Liang Goh, Nikola K. Kasabov:
Integrated gene expression analysis of multiple microarray data sets based on a normalization technique and on adaptive connectionist model. 1724-1728 - Ichiro Takeuchi, Noriyuki Yamanaka, Takeshi Furuhashi:
Robust regression under asymmetric or/and non-constant variance error by simultaneously training conditional quantiles. 1729-1734 - Wlodzislaw Duch:
Coloring black boxes: visualization of neural network decisions. 1735-1740 - Junshui Ma, Simon Perkins:
Time-series novelty detection using one-class support vector machines. 1741-1745 - Dianhui Wang, Nung Kion Lee, Tharam S. Dillon:
Data mining for building neural protein sequence classification systems with improved performance. 1746-1751 - Carlos Hernández-Espinosa, Mercedes Fernández-Redondo, Mamen Ortiz-Gómez:
Interval arithmetic inversion: a new rule extraction algorithm. 1752-1756 - Takashi Onoda, Hiroshi Murata, Seiji Yamada:
Relevance feedback with active learning for document retrieval. 1757-1762 - Zheng Wu, Gary G. Yen:
A SOM projection technique with the growing structure for visualizing high-dimensional data. 1763-1768 - Arpad Kelemen, Hong Zhou, Pamela Lawhead, Yulan Liang:
Naive Bayesian classifier for microarray data. 1769-1773 - Rory G. Mulvaney, Dhananjay S. Phatak:
Efficient realization of classification using modified Haar DWT. 1774-1779 - PingZhao Hu, Malcolm I. Heywood:
Predicting intrusions with local linear models. 1780-1785 - Xiao Luo, Ayse Nur Zincir-Heywood:
A comparison of SOM based document categorization systems. 1786-1791 - Ali Selamat, Sigeru Omatu:
Neural networks for web page classification based on augmented PCA. 1792-1797 - Ulf Johansson, Cecilia Sönströd:
Neural networks mine for gold at the greyhound racetrack. 1798-1801 - Anthony J. Bagnall, Gavin C. Cawley:
Learning classifier systems for data mining: a comparison of XCS with other classifiers for the Forest Cover data set. 1802-1807 - Hilmi Günes Kayacik, Ayse Nur Zincir-Heywood, Malcolm I. Heywood:
On the capability of an SOM based intrusion detection system. 1808-1813 - Andrew Skabar:
Mineral potential mapping using feed-forward neural networks. 1814-1819 - Arvind Rapaka, Alexander Novokhodko, Donald Wunsch:
Intrusion detection using radial basis function network on sequences of system calls. 1820-1825 - Alexander N. Gorban, Andrei Yu. Zinovyev, Donald C. Wunsch:
Application of the method of elastic maps in analysis of genetic texts. 1826-1831 - Carsten Wilks, Thomas Schieder, Rolf Eckmiller:
Towards a tactile communication system with dialog-based tuning. 1832-1837 - S. Y. M. Shi, Ponnuthurai Nagaratnam Suganthan:
Unsupervised similarity-based feature selection using heuristic Hopfield neural networks. 1838-1843 - Giorgio Valentini, Marco Muselli, Francesca Ruffino:
Bagged ensembles of Support Vector Machines for gene expression data analysis. 1844-1849 - Vassilis G. Kaburlasos:
Improved fuzzy lattice neurocomputing (FLN) for semantic neural computing. 1850-1855 - Kenji Nakayama, Akihiro Hirano, Takayuki Nishiwaki:
A cascade form blind source separation connecting source separation and linearization for nonlinear mixtures. 1856-1861 - Khurram Waheed, Keyur Desai, Fathi M. Salem:
Natural gradient based blind multi user detection in QPSK DS-CDMA system. 1862-1867 - De-Shuang Huang:
The further discussions on constrained learning algorithms. 1868-1872 - Tai-cong Chen, Da-jian Han, Francis T. K. Au, Leslie George Tham:
Acceleration of Levenberg-Marquardt training of neural networks with variable decay rate. 1873-1878 - Jung-Wook Park, Ganesh K. Venayagamoorthy, Ronald G. Harley:
Adaptive critic designs and their implementations on different neural network architectures. 1879-1884 - Chia-Feng Juang, Chun-Feng Lu:
Combination of online Clustering and Q-value based genetic reinforcement learning for fuzzy network design. 1885-1890 - Radhakant Padhi, Sivasubramanya N. Balakrishnan:
Approximate dynamic programming based optimal neurocontrol synthesis of a chemical reactor process using proper orthogonal decomposition. 1891-1896 - Matthew W. Mitchell:
A performance comparison of TRACA - an incremental on-line learning algorithm. 1897-1902 - Sin Chun Ng, Chi-Chung Cheung, Shu-hung Leung, Andrew Luk:
Fast convergence for backpropagation network with magnified gradient function. 1903-1908 - Myriam Abramson, Peter Pachowicz, Harry Wechsler:
Competitive reinforcement learning in continuous control tasks. 1909-1914 - Abdelhamid Bouchachia, Roland T. Mittermeir:
A neural cascade architecture for document retrieval. 1915-1920 - Cheng-Jian Lin, Cheng-Chung Chin, Cheng-Ling Lee:
A wavelet-based neuro-fuzzy system and its applications. 1921-1926 - Chai Quek, Geok See Ng, Abdul Wahab:
Feature extraction for neural-fuzzy inference system. 1927-1932 - Yongquan Yu, Huang Ying, Bi Zeng:
A PID neural network controller. 1933-1938 - Pradeep M. Patil, Uday V. Kulkarni, T. R. Sontakke:
Modular Fuzzy Hyperline Segment Neural Network. 1939-1944 - Julio J. Valdés, Alan J. Barton:
Multivariate time series model discovery with similarity-based neuro-fuzzy networks and genetic algorithms. 1945-1950 - Wen-Shyong Yu:
Adaptive fuzzy-neural control for uncertain time-delayed systems. 1951-1956 - Al Cripps, Nghiep Nguyen, Vassilis G. Kaburlasos:
Three improved fuzzy lattice neurocomputing (FLN) classifiers. 1957-1962 - Mohammad Bagher Menhaj, Swakshar Ray:
Parameter sensitivities of a neuro-based adaptive controller with guaranteed stability. 1963-1968 - Issam Dagher:
A comparative study of the category choice of the fuzzy ART with the L-1 norm. 1969-1974 - Razvan Andonie, Lucian M. Sasu, Valeriu Beiu:
Fuzzy ARTMAP with relevance factor. 1975-1980 - Michael J. Healy, Thomas P. Caudell, Yunhai Xiao:
From categorical semantics to neural network design. 1981-1986 - Stephen J. Verzi, Gregory L. Heileman, Michael Georgiopoulos, Georgios C. Anagnostopoulos:
Universal approximation with Fuzzy ART and Fuzzy ARTMAP. 1987-1992 - Brijnesh J. Jain, Fritz Wysotzki:
Perceptron learning in the domain of graphs. 1993-1998 - Deepak Ponvel Chermakani:
A novel approach for training small-sized multilayer perceptrons. 1999-2004 - Deniz Erdogmus, Oscar Fontenla-Romero, José C. Príncipe, Amparo Alonso-Betanzos, Enrique F. Castillo, Robert Jenssen:
Accurate initialization of neural network weights by backpropagation of the desired response. 2005-2010 - Tae Kim, Michael T. Manry, Javier Maldonado:
New learning factor and testing methods for conjugate gradient training algorithm. 2011-2016 - Gao Daqi, Liu Hua, Li Changwu:
On variable sizes and sigmoid activation functions of multilayer perceptrons. 2017-2022 - Yingjie Yang, Chris J. Hinde, David Gillingwater:
Improved neural network training using redundant structure. 2023-2027 - Hiroshi Ninomiya, Chikahiro Tomita, Hideki Asai:
An efficient learning algorithm with second-order convergence for multilayer neural networks. 2028-2032 - Brijesh K. Verma, Rinku Panchal, Kuldeep Kumar:
A novel min-max feature value based neural architecture and learning algorithm for classification of microcalcifications. 2033-2038 - Theodore B. Trafalis, Samir A. Alwazzi:
Robust optimization in support vector machine training with bounded errors. 2039-2042 - Kenichi Kaieda, Shigeo Abe:
A kernel fuzzy classifier with ellipsoidal regions. 2043-2048 - Min Yoon, Yeboon Yun, Hirotaka Nakayama:
A role of total margin in support vector machines. 2049-2053 - Yoshiaki Koshiba, Shigeo Abe:
Comparison of L1 and L2 support vector machines. 2054-2059 - Daniel T. H. Lai, Marimuthu Palaniswami, Nallasamy Mani:
Fast linear stationary methods for automatically biased support vector machines. 2060-2065 - Gorden T. Jemwa, Chris Aldrich:
Identification of chaotic process systems with least squares support vector machines. 2066-2071 - Davide Anguita, Andrea Boni, Sandro Ridella:
SVM learning with fixed-point math. 2072-2076 - Kentaro Ito, Ryohei Nakano:
Optimizing Support Vector regression hyperparameters based on cross-validation. 2077-2082 - Oscar L. Chacón, Igor Litvintchev, Ada Alvarez, Ernesto Vázquez:
Design of support vector machine by adaptive aggregation. 2083-2087 - S. Sathiya Keerthi, Shirish K. Shevade:
SMO algorithm for least squares SVM. 2088-2093 - Khaleequr Rehman Niazi, C. M. Arora, S. L. Surana:
Power system security evaluation using ANN: feature selection using divergence. 2094-2099 - Nicolaos B. Karayiannis, Mahesh Balasubramanian, Heidar A. Malki:
Evaluation of cosine radial basis function neural networks on electric power load forecasting. 2100-2105 - Giansalvo Cirrincione, Maurizio Cirrincione, Chuan Lu, Marcello Pucci:
Direct torque control of induction motors by use of the GMR neural network. 2106-2111 - Narayanan Kumarappan, M. R. Mohan:
Neuro-hybrid genetic algorithm based economic dispatch for utility system. 2112-2117 - Meng-Hui Wang, Chin-Pao Hung:
Self-organizing neural-based fuzzy controller for transient stability of multimachine power systems using flywheel battery. 2118-2123 - Nikola Kasabov, Gancho Venkov, Stefan Minchev:
Neural systems for solving the inverse problem of recovering the primary signal waveform in potential transformers. 2124-2129 - Yuuki Yazama, Yasue Mitsukura, Minoru Fukumi, Norio Akamatsu:
Recognition system for EMG signals by using non-negative matrix factorization. 2130-2133 - Yun Luo, Yi Lu Murphey, Farid Khairallah:
Human head detection using multi-modal object features. 2134-2139 - Metin Artiklar, Xiaoyan Mu, Mohamad H. Hassoun, Paul Watta:
Local voting networks for human face recognition. 2140-2145 - Min Han, Lei Cheng, Hua Meng:
Application of four-layer neural network on information extraction. 2146-2151 - Takashi Nagano, Makoto Hirahara, Hideo Eguchi:
Submodular neural network is better than modular neural network and support vector machines for personal verification. 2152-2156 - Fok Hing Chi Tivive, Abdesselam Bouzerdoum:
A new class of convolutional neural networks (SICoNNets) and their application of face detection. 2157-2162 - Ernst M. Kussul, Tatiana Baidyk:
Permutative coding technique for handwritten digit recognition system. 2163-2168 - Gang Pan, Yijun Wu, Zhaohui Wu, Wenyao Liu:
3D face recognition by profile and surface matching. 2169-2174 - Jaepil Ko, Eunju Kim, Hyeran Byun:
Various decomposition methods applied to face recognition. 2175-2180 - Enrique Romero, Josep M. Sopena, Gorka Navarrete, René Alquézar:
Feature selection forcing overtraining may help to improve performance. 2181-2186 - Rex Sandwith:
Pattern recognition device using scalar vector graphics. 2187-2192 - Azzedine Lansari, Faouzi Bouslama, Mohammed Khasawneh, Akram AI-Rawi:
A novel electromyography (EMG) based classification approach for Arabic handwriting. 2193-2196 - José L. Aguilar:
An adaptive sparse distributed memory. 2197-2201 - Hazem M. El-Bakry:
Modular neural networks for solving high complexity problems. 2202-2207 - Lin Guo, De-Shuang Huang:
Human face recognition based on radial basis probabilistic neural network. 2208-2211 - Sigeru Omatu, Toshihisa Kosaka, Masaru Teranisi:
Classification of the Italian Liras using the LVQ method. 2212-2215 - Zhi-hai Wang, Hua-yi Mo, Hua-xiang Lu, Shou-jue Wang:
A method of biomimetic pattern recognition for face recognition. 2216-2221 - Oleksandr Makeyev:
Neural interpolator for image recognition in the process of microdevice assembly. 2222-2226 - Rafik A. Aliev, Babek G. Guirimov, Rashad R. Aliev:
A neuro-fuzzy graphic object classifier with modified distance measure estimator. 2227-2231 - Daqi Gao, Chao Xie, Guiping Nie:
Combinative neural-network-based classifiers for optical handwritten character and letter recognition. 2232-2237 - Mahmoud F. Hussin, Mohamed S. Kamel:
Document clustering using hierarchical SOMART neural network. 2238-2242 - Masakazu Matsugu, Katsuhiko Mori, Yusuke Mitari, Yuji Kaneda:
Facial expression recognition combined with robust face detection in a convolutional neural network. 2243-2246 - Qiang Zhang, Xiuwen Liu:
Hierarchical learning of optimal linear representations. 2247-2252 - Enzhe Yu, Sungzoon Cho:
GA-SVM wrapper approach for feature subset selection in keystroke dynamics identity verification. 2253-2257 - Shoujue Wang, Chen Xu:
Biomimetic (topological) pattern recognition - a new model of pattern recognition theory and its application. 2258-2262 - Shin-Ichi Ito, Yasue Mitsukura, Minoru Fukumi, Norio Akamatsu:
A feature extraction of the EEG during listening to the music using the factor analysis and neural networks. 2263-2267 - Feng Chu, Lipo Wang:
Gene expression data analysis using support vector machines. 2268-2271 - Guoping Wang, Misha Pavel, Xubo B. Song:
Robust recognition based on adaptive combination of weak classifiers. 2272-2276 - Wenbo Zhao, De-Shuang Huang, Lin Guo:
Optimizing radial basis probabilistic neural networks using Recursive Orthogonal Least Squares Algorithms combined with Micro-Genetic Algorithms. 2277-2282 - Wei Zhang, Timothy L. Andersen:
Using artificial neural networks to identify headings in newspaper documents. 2283-2287 - Alphonsus Dunphy, Malcolm I. Heywood:
"Freecell" neural network heuristics. 2288-2293 - Keisuke Kameyama, Kei Taga:
Layered neural network training with model switching and hidden layer feature regularization. 2294-2299 - Tarun Ambwani:
Multi class support vector machine implementation to intrusion detection. 2300-2305 - Gilles Labonté:
On the efficiency of OLS reduced probabilistic neural networks for aircraft-flare discrimination. 2306-2311 - Bojan Novak:
A multivalent logic approach to risk estimation of learning machines. 2312-2316 - Edmondo Trentin, Letizia Magnoni, Alfio Andronico:
Toward a modular connectionist model of local chlorophyll concentration from satellite images. 2317-2321 - Dimitrios A. Karras:
Improved defect detection using support vector machines and wavelet feature extraction based on vector quantization and SVD techniques. 2322-2327 - Ashraf M. Abdelbar, Deena Hassan, Gene A. Taglianni, Sridhar Narayan:
Three heuristics for receptive field optimization for ensemble encoding. 2328-2333 - Youshen Xia, Jun Wang:
A general projection neural network for solving optimization and related problems. 2334-2339 - Chi-Hwa Song, Kyunghee Lee, Won Don Lee:
Extended simulated annealing for augmented TSP and multi-salesmen TSP. 2340-2343 - Alexander M. Malyscheff, Theodore B. Trafalis:
Support vector machines and the electoral college. 2344-2348 - Yukihiro Kohayashi, Takehiko Koyama, Satoshi Matsui, Yoshihiko Horio, Kazuyuki Aihara:
Mixed analog/digital system for quadratic assignment problems. 2349-2353 - Lei Xu:
Distribution approximation, combinatorial optimization, and Lagrange-Barrier. 2354-2359 - Leonardo V. Ferreira, Eugenius Kaszkurewicz, Amit Bhaya:
Synthesis of a k-winners-take-all neural network using linear programming with bounded variables. 2360-2365 - Pravin Chandra, Yogesh Singh:
Regularization and Feedforward artificial neural network training with noise. 2366-2371 - Chin-Teng Lin, Tsu-Tian Lee, Chun-Fei Hsu, Chih-Min Lin:
Hybrid adaptive fuzzy control wing rock motion system with H∞ robust performance. 2372-2377 - Bing-Fei Wu, Jau-Woei Perng, Tsu-Tian Lee:
Parameter plane analysis of neurocontrol vehicle systems for limit cycle prediction. 2378-2381 - Mohammad Bagher Menhaj, Swakshar Ray:
Parameter sensitivities of a neuro-based adaptive controller with guaranteed stability. 2382-2387 - Alexandru Murgu:
Maximum entropy utility equilibrium of mobile agents with aggregated statistical behaviours. 2388-2392 - Chiang-Cheng Chiang, Tzu-Ching Tung:
Robust tracking control of uncertain nonlinear systems with an input time delay. 2394-2399 - Hiroaki Nakanishi, Koichi Inoue:
Development of autonomous flight control system for unmanned helicopter by use of neural networks. 2400-2405 - Luiz Augusto da Cruz Meleiro, Rubens Maciel Filho, Fernando J. Von Zuben:
Constructive neural network in model-based control of a biotechnological process. 2406-2411 - Sampath Yerramalla, Bojan Cukic, Edgar Fuller:
Lyapunov stability analysis of the quantization error for DCS neural networks. 2412-2417 - Anya Tascillo, Ronald Miller:
An in-vehicle virtual driving assistant using neural networks. 2418-2423 - Fumihiko Ishida, Yoshiki Kuramoto, Yasuji Sawada:
Transition between position-matching control and rhythm-matching control in hand tracking task is explained by a phase model for hand motion. 2424-2427 - Ashraf M. Abdelbar, Heba A. Amer:
Applying Guided Evolutionary Simulated Annealing to cost-based abduction. 2428-2431 - Vivien Rossi, Jean-Pierre Vila:
Radial basis network approach for nonlinear filtering in discrete time. 2433-2437 - Xiaohua Wang, Paul Kang Hoh Phua, Weidong Lin:
Stock market prediction using neural networks: Does trading volume help in short-term prediction? 2438-2442 - Artem M. Sokolov:
An adaptive detection of anomalies in user's behavior. 2443-2447 - Salvatore Marra, Francesco Carlo Morabito, Mario Versaci:
Neural networks and Cao's method: A novel approach for air pollutants time series forecasting. 2448-2453 - Dayong Gao, Yohsuke Kinouchi, Koji Ito, Xueli Zhao:
Time series identifying and modeling with neural networks. 2454-2459 - Sven F. Crone:
Prediction of white noise time series using artificial neural networks and asymmetric cost functions. 2460-2465 - Ratna Babu Chinnam, Pundarikaksha Baruah:
Autonomous diagnostics and prognostics through competitive learning driven HMM-based clustering. 2466-2471 - Zanial Ahmad, Jie Zhang:
Improving data based nonlinear process modelling through Bayesian combination of multiple neural networks. 2472-2477 - Tony Jan:
Robust short term prediction using combination of linear regression and modified probabilistic neural network model. 2478-2481 - Christian Gruber, Bernhard Sick:
Fast and efficient second-order training of the dynamic neural network paradigm. 2482-2487 - Pedrudee Ongsritrakul, Nuanwan Soonthornphisaj:
Apply decision tree and support vector regression to predict the gold price. 2488-2492 - Maria Luzia F. Velloso, Marley M. B. R. Vellasco, Marco A. P. Cavalcante, Cristiano C. Fernandes:
Neural smoothing transition coefficients for nonlinear processes in mean and variance. 2493-2496 - James T. Lo, Devasis Bassu:
Adaptive vs. accommodative neural networks for adaptive system identification: part II. 2497-2501 - Makoto Hirahara, Takashi Nagano:
A neural network for the typicality effects. 2502-2505 - Andrew Luk, Sandra Lien:
Detecting rare events with lotto-type competitive learning. 2506-2511 - Ryusuke Kurino, Masanori Sugisaka, Katsunari Shibata:
Growing neural network for acquisition of 2-layer structure. 2512-2517 - Ming-Jung Seow, Vijayan K. Asari:
Associative memory using ratio rule for multi-valued pattern association. 2518-2522 - Qianyi Wang, Yasuhiro Sekiya, Hirosato Nomura:
Learning-possibility of neuron model can recognize depth-rotation in three-dimension space. 2523-2527 - Teddy N. Yap Jr., Arnulfo P. Azcarraga:
Generalized associative memory models for data fusion. 2528-2533 - Yusuke Magori, Takeshi Kamio, Hisato Fujisaka, Mititada Morisue:
Noise supplement learning algorithm for associative memories using multilayer perceptrons and sparsely interconnected neural networks. 2534-2539 - Takeda Takaharu, Qiangfu Zhao, Yong Liu:
A study on on-line learning of NNTrees. 2540-2545 - Bogdan M. Wilamowski, David K. Hunter, Aleksander Malinowski:
Solving parity-N problems with feedforward neural networks. 2546-2551 - Xiaoyan Mu, Mehmet Artiklar, Mohamad H. Hassoun:
An RCE-based associative memory with application to human face recognition. 2552-2557 - Bryan A. Davis, Deniz Erdogmus, Yadunandana N. Rao, José C. Príncipe:
Supervised synaptic weight adaptation for a spiking neuron. 2558-2562 - Takuji Hayashi, Osamu Araki, Tohru Ikeguchi:
Different inhibitory effects by dopaminergic modulation and global suppression of activity. 2563-2568 - Masanao Shimazaki, Hiroyuki Torikai, Toshimichi Saito:
Synchronization phenomena of a mutually pulse-coupled network of integrate-and-fire circuits. 2569-2573 - Nathan A. Dunn, John S. Conery, Shawn R. Lockery:
A neural network model for chemotaxis in Caenorhabditis elegans. 2574-2578 - Alexander M. Reznik, A. S. Sitchov, Oleksiy Dekhtyarenko, Dimitri Nowicki:
Associative memories with "killed" neurons: The methods of recovery. 2579-2582 - Kenji Tsumori, Seiichi Ozawa:
Incremental learning in dynamic environments using neural network with long-term memory. 2583-2588 - Hugo de Garis, Ravichandra Sriram, Zijun Zhang:
Quantum generation of neural networks. 2589-2593 - Chang-Hyun Park, Kwee-Bo Sim:
Emotion recognition and acoustic analysis from speech signal. 2594-2598 - Richard C. Murphy:
Phrase detection and the associative memory neural network. 2599-2603 - Kazuo Nishimura:
Working of the brain and rationality in economic behavior. 2604-2608 - Nils Goerke:
Systemic intelligence: methods for growing up artefacts that live. 2609-2614 - Noriyasu Homma, Madan M. Gupta:
A self-organizing neural structure for concept formation from incomplete observation. 2615-2618 - Katsumari Shibata, Koji Ito:
Hidden representation after reinforcement learning of hand reaching movement with variable link length. 2619-2624 - Kunihiko Fukushima:
Neural network models for vision. 2625-2630 - Antonio Eleuteri, Roberto Tagliaferri, Leopoldo Milano, Gennaro Sansone, Diego D'Agostino, Sabino De Placido, Michele De Laurentiis:
Survival analysis and neural networks. 2631-2636 - E. Berno, Lucia Brambilla, Roberto Canaparo, F. Casale, Mario Costa, C. Della Pepa, Mario Eandi, Eros Pasero:
Application of probabilistic neural networks to population pharmacokineties. 2637-2642 - Zvi Boger:
Finding patient cluster attributes using auto-associative ANN modeling. 2643-2648 - Lei Xu:
Data-smoothing regularization, normalization regularization, and competition-penalty mechanism for statistical learning and multi-agents. 2649-2654 - Carlos Hernández-Espinosa, Mercedes Fernández-Redondo, Mamen Ortiz-Gómez:
A comparison of ensemble methods for multilayer feedforward networks. 2655-2660 - Nan Bu, Toshio Tsuji, Osamu Fukuda:
MMI-based training for a probabilistic neural network. 2661-2666 - Rohit Dua, Vicki Eller, Kakkattukuzhy Isaac, Steve E. Watkins, Donald C. Wunsch II:
Intelligent strain sensing on a smart composite wing using extrinsic Fabry-Perot interferometric sensors and neural networks. 2667-2672 - Erik M. Laxdal, Nikitas J. Dimopoulos:
A novel approach to fault classification using sparse sets of exemplars. 2673-2678 - Ziyan Wen, Jacob A. Crossman, John Cardillo, Yi Lu Murphey:
Case-base reasoning in vehicle fault diagnostics. 2679-2684 - Christopher P. Diehl, Gert Cauwenberghs:
SVM incremental learning, adaptation and optimization. 2685-2690 - Steffen Lange, Sandra Zilles:
Formal models of incremental learning and their analysis. 2691-2696 - Arindam Banerjee, Joydeep Ghosh:
Competitive learning mechanisms for scalable, incremental and balanced clustering of streaming texts. 2697-2702 - Giorgio Metta, Paul M. Fitzpatrick:
Early integration of vision and manipulation. 2703 - Brian Scassellati:
Investigating models of social development using a humanoid robot. 2704-2709 - Juyang Weng, Yilu Zhang, Yi Chen:
Developing early senses about the world: "Object Permanence" and visuoauditory real-time learning. 2710-2715 - Stephen E. Levinson, Weiyu Zhu, Danfeng Li, Kevin Squire, Ruei-Sung Lin, Matthew Kleffner, Matthew McClain, Johnny Lee:
Automatic language acquisition by an autonomous robot. 2716-2721 - Nicolaos B. Karayiannis, S. M. Nagabhushan Kaliyur, Heidar A. Malki:
Evaluation of neural and entropy-constrained routing of communication networks. 2722-2727 - Michael Stiber:
Non-information-maximizing neural coding. 2728-2733 - Ryotaro Kamimura, Haruhiko Takeuchi:
Flexible self-organizing maps by information maximization. 2734-2739 - Bart Kosko, Sanya Mitaim:
Almost all noise types can improve the mutual information of threshold neurons that detect subthreshold signals. 2740-2745 - Rainer Spiegel:
Cognitive modeling of symbolic-like relationships with the adaptive neural network associator (ANNA). 2746-2751 - V. A. Gorelik:
A hypothetical mechanism of auditory processing for extraction of directional cues. Integration with oculomotor function. 2752-2757 - Sven Behnke:
Discovering hierarchical speech features using convolutional non-negative matrix factorization. 2758-2763 - Marcus A. Maloof:
Incremental rule learning with partial instance memory for changing concepts. 2764-2769 - Robi Polikar, Stefan Krause, Lyndsay Burd:
Ensemble of classifiers based incremental learning with dynamic voting weight update. 2770-2775 - Koichiro Yamauchi:
Incremental learning with sleep. 2776-2781 - Gregorios C. Anagnostopoulos, Madan Bharadwaj, Michael Georgiopoulos, Stephen J. Verzi, Gregory L. Heileman:
Exemplar-based pattern recognition via semi-supervised learning. 2782-2787 - Jochen Triesch, Eric Carlson, Gedeon O. Deák, Javier Movellan:
Investigating the emergence of shared attention through an embodied computational modeling approach: a progress report. 2788 - Olaf Sporns, William H. Alexander:
Neuromodulation in a learning robot: interactions between neural plasticity and behavior. 2789-2794 - Bruce Blumberg, Matt Berlin, Daphna Buchsbaum, Marc Downie, Derek Lyons, Jennie Cochran:
Lessons from ethology for computational models of development. 2795 - Olaf Spoms, Teresa K. Pegors:
Generating structure in sensory data through coordinated motor activity. 2796 - Tanzeem Choudhury, Brian P. Clarkson, Sumit Basu, Alex Pentland:
Learning communities: connectivity and dynamics of interacting agents. 2797-2802 - Ashraf M. Abdelbar, Emad A. M. Andrews, Gene A. Tagliarini:
Finding least cost proofs using high order recurrent networks. 2803-2806 - Trevor I. Laine, Kenneth W. Bauer Jr.:
Feature selection assessment and comparison using two saliency measures in an Elman recurrent neural network. 2807-2812 - Mario Aguilar, Yair Barniv, Aaron Garrett:
Prediction of pitch and yaw head movements via recurrent neural networks. 2813-2818 - Stefano Squartini, Amir Hussain, Francesco Piazza:
Attempting to reduce the vanishing gradient effect through a novel recurrent multiscale architecture. 2819-2824 - Benjamin Schrauwen, Jan Van Campenhout:
BSA, a fast and accurate spike train encoding scheme. 2825-2830 - Giorgio A. Ascoli:
Electrotonic effects on spike response model dynamics. 2831-2836 - Roberto A. Santiago, James McNames, Kim Burchiei, George G. Lendaris:
An automated method for neuronal spike source identification. 2837-2842 - Mikhail V. Kiselev:
Statistical approach to unsupervised recognition of spatio-temporal patterns by spiking neurons. 2843-2847 - Hassan H. Narnarvar, Theodore W. Berger:
Trust region nonlinear optimization learning method for dynamic synapse neural networks. 2848-2853 - Ming Dong, Xu-Shen Zhou:
Analyzing dividend events with neural network rule extraction. 2854-2859 - Yi Lu Murphey, Zhihang Chen, May Putrus, Lee A. Feldkamp:
SVM learning from large training data set. 2860-2865 - Ulf Johansson, Cecilia Sönströd, Rikard König, Lars Niklasson:
Neural networks and rule extraction for prediction and explanation in the marketing domain. 2866-2871 - Bernard Widrow, Max Kamenetsky:
On the statistical efficiency of the LMS family of adaptive algorithms. 2872-2880 - Eduardo Bayro-Corrochano, Noel Trujillo, Michel Naranjo:
The role of the quaternion Fourier descriptors for preprocessing in neuralcomputing. 2881-2886 - Gerhard X. Ritter, Laurentiu Iancu:
Single layer feedforward neural network based on lattice algebra. 2887-2892 - Eduardo Bayro-Corrochano, Nancy Arana-Daniel, Refugio Vallejo:
Design of kernels for support multivector machines involving the Clifford geometric product and the conformal geometric neuron. 2893-2898 - Hamid Eghbalnia, Amir H. Assadi:
A computational model of visual perception of surfaces. 2899-2904 - Hailin Li, Cihan H. Dagli:
An enhanced least-squares approach for reinforcement learning. 2905-2909 - Myriam Abramson, Harry Wechsler:
Tabu search exploration for on-policy reinforcement learning. 2910-2915 - Alexandre X. Carvalho, Martin L. Puterman:
Dynamic pricing and reinforcement learning. 2916-2921 - Thaddeus T. Shannon, Roberto A. Santiago, George G. Lendaris:
Accelerating critic learning in approximate dynamic programming via value templates and perceptual learning. 2922-2927 - Ameet Joshi, Juyang Weng:
Autonomous mental development in high dimensional state and action spaces. 2928-2933 - Yuxuan Lan, Gawin Cawley, Richard Harvey:
Train-spotting: building classifiers for microarrays. 2934-2939 - Thomas Martinetz, Jan E. Gewehr, Jan T. Kim:
Statistical learning for detecting protein-DNA-binding sites. 2940-2945 - Robinson Semolini, Fernando J. Von Zuben:
Transductive support vector machines for classification of microarray gene expression data. 2946-2951 - Jeane C. B. Melo, George D. C. Cavalcanti, Katia S. Guimarães:
PCA feature extraction for protein structure prediction. 2952-2957 - Robert J. Foxall, Gavin C. Cawley, Michael W. Peck:
Modelling the growth domain of Clostridium botulinum via kernel survival analysis. 2958-2963 - Salman Mohagheghi, Jung-Wook Park, Ronald G. Harley, Ganesh K. Venayagamoorthy, Mariesa L. Crow:
An adaptive neural network identifier for effective control of a static compensator connected to a power system. 2964-2969 - Wenxin Liu, Ganesh K. Venayagamoorthy, Donald C. Wunsch II:
Adaptive neural network based power system stabilizer design. 2970-2975 - Jung-Wook Park, Ronald G. Harley, Ganesh K. Venayagamoorthy:
A novel dual heuristic programming based optimal control of a series compensator in the electric power transmission system. 2976-2981 - Radha P. Kalyani, Ganesh K. Venayagamoorthy:
A continually online trained neurocontroller for the series branch control of the UPFC. 2982-2987 - Chin-Pao Hung, Mang-Hui Wang, Chin-Hsing Cheng, Wen-Lang Lin:
Fault diagnosis of steam turbine-generator using CMAC neural network approach. 2988-2993 - Christoph von der Malsburg:
On the importance of binding. 2994 - Jeffrey J. Weinschenk, Robert J. Marks II, William E. Combs:
Layered URC fuzzy systems: a novel link between fuzzy systems and neural networks. 2995-3000 - Xiao Hu, John L. Vian, Joseph R. Slepski, Donald C. Wunsch II:
Vibration analysis via neural network inverse models to determine aircraft engine unbalance condition. 3001-3006 - S. Narayanan, John L. Vian, Jai J. Choi, Robert J. Marks II, Mohamed A. El-Sharkawi, Benjamin B. Thompson:
Missing sensor data restoration for vibration sensors on a jet aircraft engine. 3007-3010 - Benjamin B. Thompson, Robert J. Marks II, Mohamed A. El-Sharkawi:
On the contractive nature of autoencoders: application to missing sensor restoration. 3011-3016 - Lee A. Feldkamp, Danil V. Prokhorov, Timothy M. Feldkamp:
Conditioned adaptive behavior from Kalman filter trained recurrent networks. 3017-3021 - Stephen Shervais, Martin Zwick:
Using reconstructability analysis to select input variables for artificial neural networks. 3022-3026 - Colin Molter, Hugues Bersini:
Fascinating rhythms by chaotic Hopfield networks. 3027-3030 - Alexander M. Reznik, Oleksiy Dekhtyarenko:
Modular neural associative memory capable of storage of large amounts of data. 3031-3035 - Diego Federici:
Implicant Network: an associative memory model. 3036-3041 - Ryotaro Kamimura:
Improving generalization by teacher-directed learning. 3042-3047 - Yunhai Xiao, Thomas Preston Caudell, Michael J. Healy:
eLoom: a specification, simulation and visualization engine for modeling arbitrary hierarchical neural architectures. 3048-3053 - Olivier Ménard, Hervé Frezza-Buet:
Multi-map self-organization for sensorimotor learning: a cortical approach. 3054-3059 - Leipo Yan, Lipo Wang:
Image restoration using chaotic simulated annealing. 3060-3064 - Marcelo Andrade Teixeira, Gerson Zaverucha:
Fuzzy Markov predictor in multi-step electric load forecasting. 3065-3070 - Allan de Medeiros Martins, Aadriao Duarte Doria Neto, Jorge Dantas de Melo:
Neural networks applied to classification of data based on Mahalanobis metrics. 3071-3076 - Cesare Furlanello, Maria Serafini, Stefano Merler, Giuseppe Jurman:
Gene selection and classification by entropy-based recursive feature elimination. 3077-3082 - Alberto Paccanaro, Chakra Chennubhotla, James A. Casbon, Mansoor A. S. Saqi:
Spectral clustering of protein sequences. 3083-3088 - Francesco Masulli, Stefano Rovetta:
An ensemble approach to variable selection for classification of DNA microarray data. 3089-3094 - Zvi Boger:
Artificial neural networks methods for identification of the most relevant genes from gene expression array data. 3095-3100 - Anke Meyer-Bäse, Sergei S. Pilyugin:
Flow invariance for competitive multi-modal neural networks. 3101-3105 - Giansalvo Cirrincione, Chuan Lu, Maurizio Cirrincione, Sabine Van Huffel:
A novel neural approach to inverse problems with discontinuities (the GMR neural network). 3106-3111 - Anas N. Al-Rabadi, George G. Lendaris:
Artificial neural network implementation using many-valued quantum computing. 3112-3117 - Andrew M. Fraser, Nicolas W. Hengartner, Kevin R. Vixie, Brendt E. Wohlberg:
Incorporating invariants in Mahalanobis distance based classifiers: application to face recognition. 3118-3123 - Raul Rojas:
Networks of width one are universal classifiers. 3124-3127 - Chuck Jorgensen, Diana D. Lee, Shane Agabont:
Sub auditory speech recognition based on EMG signals. 3128-3133 - Hassan H. Narnarvar, Theodore W. Berger:
Robust command recognition using kernel learning algorithms. 3134-3139 - José Orozco García, Carlos A. Reyes García:
Mel-frequency cepstrum coefficients extraction from infant cry for classification of normal and pathological cry with feed-forward neural networks. 3140-3145 - Alireza A. Dibazar, Hassan H. Narnarvar, Theodore W. Berger:
A new approach for isolated word recognition using dynamic synapse neural networks. 3146-3150 - Naoyuki Kubota, Setsuo Hashimoto, Fumio Kojima:
A sensory network for perception-based robotics using neural networks. 3151-3156 - Qiang Yao, Daryl G. Beetner, Donald C. Wunsch II, Björn Osterloh:
A RAM-based neural network for collision avoidance in a mobile robot. 3157-3160 - Aiko Miyamura, Kazuyuki Aihara:
Stability analysis of decentralized motor control. 3161-3166 - Antonio Ulloa, Daniel Bullock, Bradley J. Rhodes:
A model of cerebellar adaptation of grip forces during lifting. 3167-3172 - George G. Lendaris, Roberto A. Santiago, Jay McCarthy, Michael Carroll:
Controller design via adaptive critic and model reference methods. 3173-3178 - Liming Zhang, Jianfeng Mei:
Theoretical confirmation of simple cell's receptive field of animal's visual systems and efficient navigation applications. 3179-3184 - Bancha Charumporn, Michifumi Yoshioka, Toru Fujinaka, Sigeru Omatu:
Early stage fire detection using reliable metal oxide gas sensors and artificial neural networks. 3185-3188 - Xihong Wu, Dingsheng Luo, Huisheng Chi, Harold Szu:
Biomimetics speaker identification systems for network security gatekeepers. 3189-3194 - Osamu Fukuda, Jun Arita, Toshio Tsuji:
An EMG-controlled omnidirectional pointing device using a HMM-based neural network. 3195-3200 - Samarth Swarup, Tuna Oezer, Sylvian R. Ray, Thomas J. Anastasio:
A self-aiming camera based on neurophysical principles. 3201-3206 - John A. Bullinaria:
Optimizing the learning of binary mappings. 3207-3212 - Lin Guo, De-Shuang Huang, Wenbo Zhao:
The optimization of radial basis probabilistic neural networks based on genetic algorithms. 3213-3217 - Sunghwan Sohn, Cihan H. Dagli:
Combining evolving neural network classifiers using bagging. 3218-3222 - Yuanhong Li, Ming Dong:
Classifiability based omnivariate decision trees. 3223-3228 - Peng Xu, Andrew K. Chan:
An efficient algorithm on multi-class support vector machine model selection. 3229-3232 - Jan Koutník, Miroslav Snorek:
Enhancement of categorizing and learning module (CALM) - embedded detection of signal change. 3233-3237 - Teuvo Kohonen:
A computational model of visual attention. 3238-3243 - C. L. Bean, Chandrasekhar Kambhampati:
Knowledge-oriented clustering for decision support. 3244-3249 - John A. Flanagan:
Unsupervised clustering of symbol strings. 3250-3255 - Yingjie Yang, Chris J. Hinde, David Gillingwater:
A new method for explaining neural network reasoning. 3256-3260 - Terrence Sejnowski:
Combinatorial representation of color in visual cortex. 3261
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