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ORCIDNeurocomputing, Volume 72
Volume 72, Numbers 1-3, December 2008
- Marc M. Van Hulle
, Jan Larsen:
Machine Learning for Signal Processing. 1-2 - Carlos Renjifo, David Barsic, Craig Carmen, Kevin Norman, G. Scott Peacock:
Improving radial basis function kernel classification through incremental learning and automatic parameter selection. 3-14 - James D. B. Nelson, Robert I. Damper, Steve R. Gunn, Baofeng Guo:
Signal theory for SVM kernel design with applications to parameter estimation and sequence kernels. 15-22 - Robert Jenssen, Torbjørn Eltoft:
A new information theoretic analysis of sum-of-squared-error kernel clustering. 23-31 - Markus Harva, Somak Raychaudhury:
Bayesian estimation of time delays between unevenly sampled signals. 32-38 - Arto Klami, Samuel Kaski:
Probabilistic approach to detecting dependencies between data sets. 39-46 - John Aldo Lee, Frédéric Vrins, Michel Verleysen:
Blind source separation based on endpoint estimation with application to the MLSP 2006 data competition. 47-56 - Mariana S. C. Almeida, Luís B. Almeida:
Wavelet-based separation of nonlinear show-through and bleed-through image mixtures. 57-70 - Mohammad H. Radfar, Richard M. Dansereau, Abolghasem Sayadiyan:
Speaker-independent model-based single channel speech separation. 71-78 - Emmanuel Vincent, Mark D. Plumbley:
Efficient Bayesian inference for harmonic models via adaptive posterior factorization. 79-87 - Paul D. O'Grady, Barak A. Pearlmutter:
Discovering speech phones using convolutive non-negative matrix factorisation with a sparseness constraint. 88-101 - Kyu-Hwa Jeong, José C. Príncipe:
Enhancing the correntropy MACE filter with random projections. 102-111 - Stephen James Redmond, Conor Heneghan, Kenneth E. Hild II, Srikantan S. Nagarajan:
Denoising of magnetoencephalographic data using spatial averaging. 112-118 - David J. Miller, Siddharth Pal, Yue Joseph Wang:
Extensions of transductive learning for distributed ensemble classification and application to biometric authentication. 119-125 - Kang Li, Xia Hong, George W. Irwin:
Life System Modelling, Simulation, and Bio-inspired Computing (LSMS 2007). 126-127 - Kai-Yang Li, Yong-Gang Dong, Cheng Chen, Shao-Ping Zhang:
The noninvasive reconstruction of 3D temperature field in a biological body with Monte Carlo method. 128-133 - Rui-Sheng Wang, Shi-Hua Zhang, Yong Wang, Xiang-Sun Zhang, Luonan Chen:
Clustering complex networks and biological networks by nonnegative matrix factorization with various similarity measures. 134-141 - Ben Niu, Y. L. Zhu, Xiaoxian He, Hai Shen, Q. H. Wu:
A lifecycle model for simulating bacterial evolution. 142-148 - Maoguo Gong, Licheng Jiao, Xiangrong Zhang:
A population-based artificial immune system for numerical optimization. 149-161 - Hongbin Sun, Lihong Ren, Yong-Sheng Ding:
Evolutionary stability affected by energy flow in the bio-network architecture. 162-169 - Jian Fan, Yang Song, Minrui Fei:
ART2 neural network interacting with environment. 170-176 - Jiangsheng Yu, Fei Cheng, Huilin Xiong, Wanling Qu, Xue-wen Chen:
A Bayesian approach to support vector machines for the binary classification. 177-185 - Lingling Tian, Donghai Li, Xianfang Sun:
Nonlinear-estimator-based robust synchronization of Hodgkin-Huxley neurons. 186-196 - Lisheng Wei, Minrui Fei, Huosheng Hu:
Modeling and stability analysis of grey-fuzzy predictive control. 197-202 - Liu Yang, Baolong Guo, Wei Ni:
Multimodality medical image fusion based on multiscale geometric analysis of contourlet transform. 203-211 - Chong Lu, Wanquan Liu, Senjian An:
A simplified GLRAM algorithm for face recognition. 212-217 - Chan-Yun Yang:
Highlighting heterogeneous samples to support vector machines' training. 218-230 - Kelin Li, Qiankun Song:
Exponential stability of impulsive Cohen-Grossberg neural networks with time-varying delays and reaction-diffusion terms. 231-240 - Maciej Szaleniec, Ryszard Tadeusiewicz, Malgorzata Witko:
How to select an optimal neural model of chemical reactivity? 241-256 - John Yannis Goulermas, Panos Liatsis, Xiao-Jun Zeng:
Kernel regression networks with local structural information and covariance volume adaptation. 257-261 - Guoren Wang, Yi Zhao, Di Wang:
A protein secondary structure prediction framework based on the Extreme Learning Machine. 262-268 - Ioannis G. Tsoulos, Dimitris Gavrilis, Euripidis Glavas:
Neural network construction and training using grammatical evolution. 269-277 - Hong Chang, Zuren Feng, Xiaoliang Wei:
Object recognition and tracking with maximum likelihood bidirectional associative memory networks. 278-292 - Koray Karahaliloglu, Patrick Gans, Nathan Schemm, Sina Balkir:
Pixel sensor integrated neuromorphic VLSI system for real-time applications. 293-301 - Wangqiang Niu, Jing-Qi Yuan:
A multi-subunit spatiotemporal model of local edge detector cells in the cat retina. 302-312 - Lei Gu, Huizhong Wu:
A kernel-based fuzzy greedy multiple hyperspheres covering algorithm for pattern classification. 313-320 - Baoyong Zhang, Shengyuan Xu, Yun Zou:
Improved delay-dependent exponential stability criteria for discrete-time recurrent neural networks with time-varying delays. 321-330 - Yi-Chung Hu:
Nonadditive grey single-layer perceptron with Choquet integral for pattern classification problems using genetic algorithms. 331-340 - Lixia Duan, Qishao Lu, Qinyun Wang:
Two-parameter bifurcation analysis of firing activities in the Chay neuronal model. 341-351 - Jianguo Wang, Wankou Yang, Yusheng Lin, Jingyu Yang:
Two-directional maximum scatter difference discriminant analysis for face recognition. 352-358 - Hai-Jun Rong, Yew-Soon Ong, Ah-Hwee Tan, Zexuan Zhu:
A fast pruned-extreme learning machine for classification problem. 359-366 - Shuyuan Yang, Min Wang, Licheng Jiao:
Incremental constructive ridgelet neural network. 367-377 - Xinbo Gao, Wen Lu, Xuelong Li, Dacheng Tao:
Wavelet-based contourlet in quality evaluation of digital images. 378-385 - Baotong Cui, Wei Wu:
Global exponential stability of Cohen-Grossberg neural networks with distributed delays. 386-391 - Shuang-Hong Yang, Bao-Gang Hu, Paul-Henry Cournède:
Structural identifiability of generalized constraint neural network models for nonlinear regression. 392-400 - Chia-Yu Yen, Krzysztof J. Cios:
Image recognition system based on novel measures of image similarity and cluster validity. 401-412 - Hong Qu, Zhang Yi, XiaoBin Wang:
Switching analysis of 2-D neural networks with nonsaturating linear threshold transfer functions. 413-419 - Witold Pedrycz, Ho-Sung Park, Sung-Kwun Oh:
A granular-oriented development of functional radial basis function neural networks. 420-435 - Ling Chen, Hongyong Zhao:
Stability analysis of stochastic fuzzy cellular neural networks with delays. 436-444 - Jun-e Feng, Shengyuan Xu:
New criteria on global robust stability of Cohen-Grossberg neural networks with time-varying delays. 445-457 - Li Ma, Abdul Wahab, Geok See Ng, Sevki S. Erdogan:
An experimental study of the extended NRBF regression model and its enhancement for classification problem. 458-470 - Min Han, Jia Yin:
The hidden neurons selection of the wavelet networks using support vector machines and ridge regression. 471-479 - Davide Anguita, Alessandro Ghio, Stefano Pischiutta, Sandro Ridella:
A support vector machine with integer parameters. 480-489 - Shan Liu, Yongji Wang, Quanmin Zhu:
Development of a new EDRNN procedure in control of human arm trajectories. 490-499 - Shu-Kai S. Fan, Yen Lin, Chia-Chan Wu:
Image thresholding using a novel estimation method in generalized Gaussian distribution mixture modeling. 500-512 - C. Zhang, W. Wu, X. H. Chen, Y. Xiong:
Convergence of BP algorithm for product unit neural networks with exponential weights. 513-520 - Jie Liu, Jack Xin, Yingyong Qi:
A dynamic algorithm for blind separation of convolutive sound mixtures. 521-532 - Huaxiang Zhang, Ying Fan:
An adaptive policy gradient in learning Nash equilibria. 533-538 - Eloy Irigoyen, Miguel Pinzolas:
Numerical bounds to assure initial local stability of NARX multilayer perceptrons and radial basis functions. 539-547 - Francisco J. Martínez-Estudillo, César Hervás-Martínez, Pedro Antonio Gutiérrez, Alfonso C. Martínez-Estudillo:
Evolutionary product-unit neural networks classifiers. 548-561 - Minh Nhut Nguyen, Daming Shi, Jiacai Fu:
An online Bayesian Ying-Yang learning applied to fuzzy CMAC. 562-572 - Dong Huang, Zhang Yi:
Shape recovery by a generalized topology preserving SOM. 573-580 - Panchi Li, Shiyong Li:
Quantum-inspired evolutionary algorithm for continuous space optimization based on Bloch coordinates of qubits. 581-591 - Horatiu Voicu:
The cerebellum: An incomplete multilayer perceptron? 592-599 - Wenwu He, Zhizhong Wang, Hui Jiang:
Model optimizing and feature selecting for support vector regression in time series forecasting. 600-611 - Chinson Yeh, Chen-Liang Lin, Ming-Ting Wu, Chen-Wen Yen, Jen-Feng Wang:
A neural network-based diagnostic method for solitary pulmonary nodules. 612-624 - Dipti Srinivasan:
Energy demand prediction using GMDH networks. 625-629 - Wentao Huang, Licheng Jiao, Jianhua Jia:
Population stochastic dynamics for synaptic depression. 630-635 - Jong-Hwan Lee, Sang-Hoon Oh, Soo-Young Lee:
Binaural semi-blind dereverberation of noisy convoluted speech signals. 636-642 - Shaoshuai Mou, Huijun Gao, Wenyi Qiang, Zhongyang Fei:
State estimation for discrete-time neural networks with time-varying delays. 643-647 - Na Li, Chun Chen, Qiang Wang, Mingli Song, Dacheng Tao, Xuelong Li:
Avatar motion control by natural body movement via camera. 648-652 - John Sum, Andrew Chi-Sing Leung:
Prediction error of a fault tolerant neural network. 653-658 - V. Vijaya Saradhi, Harish Karnick:
On the stability and bias-variance analysis of sparse SVMs. 659-663 - Marco Loog, Xiaojun Wu, Jieping Lu, Jing-Yu Yang, Shitong Wang, Josef Kittler:
A note on an extreme case of the generalized optimal discriminant transformation. 664-665
Volume 72, Numbers 4-6, January 2009
- Amir Hussain, Igor Aleksander, Leslie S. Smith, Ron Chrisley:
Brain inspired cognitive systems (BICS). 683-684 - Andrew Carnell:
An analysis of the use of Hebbian and Anti-Hebbian spike time dependent plasticity learning functions within the context of recurrent spiking neural networks. 685-692 - Victoria J. Hodge, Simon O'Keefe, Jim Austin:
A binary neural shape matcher using Johnson Counters and chain codes. 693-703 - Slawomir J. Nasuto, J. Mark Bishop, Kris De Meyer:
Communicating neurons: A connectionist spiking neuron implementation of stochastic diffusion search. 704-712 - Jose Ignacio Serrano, M. Dolores del Castillo, Ángel Iglesias:
Dealing with written language semantics by a connectionist model of cognitive reading. 713-725 - Chiara Bartolozzi, Giacomo Indiveri:
Global scaling of synaptic efficacy: Homeostasis in silicon synapses. 726-731 - Rod Adams, Lee Calcraft, Neil Davey:
Using a genetic algorithm to investigate efficient connectivity in associative memories. 732-742 - Hugo Gravato Marques, Owen Holland:
Architectures for functional imagination. 743-759 - Antonio Chella, Irene Macaluso:
The perception loop in CiceRobot, a museum guide robot. 760-766 - L. Andrew Coward, Tamas O. Gedeon:
Implications of resource limitations for a conscious machine. 767-788 - José Mira Mira, José Manuel Ferrández de Vicente:
The internal observer and the semantic gap. 789-791 - José Mira Mira, Ana E. Delgado:
Sensory representation spaces in neuroscience and computation. 793-805 - María Paula Bonomini, José M. Ferrández, Eduardo Fernández:
Searching for semantics in the retinal code. 806-813 - Markus Bongard, José M. Ferrández, Eduardo Fernández:
The neural concert of vision. 814-819 - Pedro Gómez Vilda, José Manuel Ferrández de Vicente, María Victoria Rodellar Biarge, Roberto Fernández-Baíllo:
Time-frequency representations in speech perception. 820-830 - Isabel Gonzalo-Fonrodona:
Functional gradients through the cortex, multisensory integration and scaling laws in brain dynamics. 831-838 - Guido Bologna, Benoît Deville, Thierry Pun:
On the use of the auditory pathway to represent image scenes in real-time. 839-849 - José Luis Crespo, Andrés Faiña, Richard J. Duro:
An adaptive detection/attention mechanism for real time robot operation. 850-860 - José M. Cuadra Troncoso, José Ramón Álvarez Sánchez, Félix de la Paz:
Discretized ISO-learning neural network for obstacle avoidance in reactive robot controllers. 861-870 - Manuel Campos, José M. Juárez, Jose Salort, José T. Palma, Roque Marín:
Reasoning in dynamic systems: From raw data to temporal abstract information. 871-878 - Eris Chinellato, Angel P. del Pobil:
Distance and orientation estimation of graspable objects in natural and artificial systems. 879-886 - Darío Maravall, Javier de Lope Asiaín, José Antonio Martín H.:
Hybridizing evolutionary computation and reinforcement learning for the design of almost universal controllers for autonomous robots. 887-894 - Emilia I. Barakova, Tino Lourens:
Mirror neuron framework yields representations for robot interaction. 895-900 - Juan José Pantrigo, Ángel Sánchez, José Mira Mira:
Representation spaces in a visual-based human action recognition system. 901-915 - Enrique J. Carmona, Mariano Rincón, Margarita Bachiller, Javier Martínez-Cantos, Rafael Martínez-Tomás, José Mira:
On the effect of feedback in multilevel representation spaces for visual surveillance tasks. 916-927 - J. Javier Martínez, F. Javier Toledo-Moreo, Eduardo Fernández, José M. Ferrández:
Study of the contrast processing in the early visual system using a neuromorphic retinal architecture. 928-935 - Ernesto A. Martínez-Rams, Vicente Garcerán-Hernández, José Manuel Ferrández de Vicente:
Low rate stochastic strategy for cochlear implants. 936-943 - Md. Faijul Amin, Kazuyuki Murase:
Single-layered complex-valued neural network for real-valued classification problems. 945-955 - Mehdi Khashei, Mehdi Bijari, Gholam Ali Raissi Ardali:
Improvement of Auto-Regressive Integrated Moving Average models using Fuzzy logic and Artificial Neural Networks (ANNs). 956-967 - Christopher Johansson, Anders Lansner:
Implementing plastic weights in neural networks using low precision arithmetic. 968-972 - Yusuke Torii, Shigeo Abe:
Decomposition techniques for training linear programming support vector machines. 973-984 - Yihui Liu:
Wavelet feature extraction for high-dimensional microarray data. 985-990 - Ruichu Cai, Zhifeng Hao, Xiaowei Yang, Wen Wen:
An efficient gene selection algorithm based on mutual information. 991-999 - Manghui Tu, Zhonghang Xia, Peng Li, Nasser Tadayon:
Allocation of partitioned data by using a neural network based approach. 1000-1011 - Mehdi Nasri, Hossein Nezamabadi-pour:
Image denoising in the wavelet domain using a new adaptive thresholding function. 1012-1025 - Kun Yuan:
Robust synchronization in arrays of coupled networks with delay and mixed coupling. 1026-1031 - Dah-Jye Lee, Paul C. Merrell, Brent E. Nelson, Zhaoyi Wei:
Multi-frame structure from motion using optical flow probability distributions. 1032-1041 - Xiaoping Xie, Zhitong Cao, Xuchu Weng, Dan Jin:
Estimating intrinsic dimensionality of fMRI dataset incorporating an AR(1) noise model with cubic spline interpolation. 1042-1055 - Zhenwei Liu, Huaguang Zhang, Zhanshan Wang:
Novel stability criterions of a new fuzzy cellular neural networks with time-varying delays. 1056-1064 - Yonggang Chen, Yuanyuan Wu:
Novel delay-dependent stability criteria of neural networks with time-varying delay. 1065-1070 - Sunan Huang, Kok Kiong Tan, Tong Heng Lee:
Neural network learning algorithm for a class of interconnected nonlinear systems. 1071-1077 - Syed Shabbir Haider, Xiao-Jun Zeng:
Simplified neural networks algorithm for function approximation on discrete input spaces in high dimension-limited sample applications. 1078-1083 - Wangxin Yu, Zhizhong Wang, Weiting Chen:
A new framework to combine vertical and horizontal information for face recognition. 1084-1091 - Loris Nanni, Alessandra Lumini:
Particle swarm optimization for prototype reduction. 1092-1097 - Tailei Zhang, Haijun Jiang, Zhidong Teng:
On the distribution of the roots of a fifth degree exponential polynomial with application to a delayed neural network model. 1098-1104 - Zhanshan Wang, Huaguang Zhang, Wen Yu:
Robust stability criteria for interval Cohen-Grossberg neural networks with time varying delay. 1105-1110 - Hakan Cevikalp, Hasan Serhan Yavuz, Mehmet Atif Cay, Atalay Barkana:
Two-dimensional subspace classifiers for face recognition. 1111-1120 - Cheng-Jian Lin, Ming-Hua Hsieh:
Classification of mental task from EEG data using neural networks based on particle swarm optimization. 1121-1130 - Xiaolin Hu:
Applications of the general projection neural network in solving extended linear-quadratic programming problems with linear constraints. 1131-1137 - Faa-Jeng Lin, Syuan-Yi Chen, Po-Huan Chou, Po-Huang Shieh:
Interval type-2 fuzzy neural network control for X-Y-Theta motion control stage using linear ultrasonic motors. 1138-1151 - Quanxue Gao, Lei Zhang, David Zhang:
Sequential row-column independent component analysis for face recognition. 1152-1159 - Pedro Paulo Balestrassi, Elmira Popova, Anderson Paulo de Paiva, José W. Marangon Lima:
Design of experiments on neural network's training for nonlinear time series forecasting. 1160-1178 - Chuandong Li, Gang Feng:
Delay-interval-dependent stability of recurrent neural networks with time-varying delay. 1179-1183 - Radwan E. Abdel-Aal, El-Sayed M. El-Alfy:
Constructing optimal educational tests using GMDH-based item ranking and selection. 1184-1197 - Zainal Ahmad, Jie Zhang:
Selective combination of multiple neural networks for improving model prediction in nonlinear systems modelling through forward selection and backward elimination. 1198-1204 - Guihua Wen:
Relative transformation-based neighborhood optimization for isometric embedding. 1205-1213 - Xiao-Ping Zeng, Yong-Ming Li, Jian Qin:
A dynamic chain-like agent genetic algorithm for global numerical optimization and feature selection. 1214-1228 - Nasser Rezzoug, Philippe Gorce:
A reinforcement learning based neural network architecture for obstacle avoidance in multi-fingered grasp synthesis. 1229-1241 - Junbin Gao, Paul Wing Hing Kwan, Yi Guo:
Robust multivariate L1 principal component analysis and dimensionality reduction. 1242-1249 - Jean-Charles Créput, Abder Koukam:
A memetic neural network for the Euclidean traveling salesman problem. 1250-1264 - Yijun Zhang, Dong Yue, Engang Tian:
Robust delay-distribution-dependent stability of discrete-time stochastic neural networks with time-varying delay. 1265-1273 - Hong Chang, Xiaoliang Wei, Zuren Feng:
Optimum associative neural network utilizing maximum likelihood. 1274-1282 - Lian Liu, Lihong Huang, Mingyong Lai, Chaoqun Ma:
Projective ART with buffers for the high dimensional space clustering and an application to discover stock associations. 1283-1295 - Shiguo Lian:
A block cipher based on chaotic neural networks. 1296-1301 - Qing Zhang, Minho Lee:
Analysis of positive and negative emotions in natural scene using brain activity and GIST. 1302-1306 - Juyang Lei, Ke Huang, Haixiang Xu, Xizhi Shi:
Infinite-dimensional sampling inference algorithm for linear dynamic system. 1307-1311 - Gang Yang, Junyan Yi, Zhiqiang Zhang, Zheng Tang:
A TCNN filter algorithm to maximum clique problem. 1312-1318 - Yongzhou Li, Dayong Luo, Shaoqiang Liu:
Orthogonal discriminant linear local tangent space alignment for face recognition. 1319-1323 - Gustavo Camps-Valls, Jordi Muñoz-Marí, Manel Martínez-Ramón, Jesús Requena-Carrión, José Luis Rojo-Álvarez:
Learning non-linear time-scales with kernel gamma-filters. 1324-1328 - Junyan Yi, Gang Yang, Zhiqiang Zhang, Zheng Tang:
An improved elastic net method for traveling salesman problem. 1329-1335 - Sancho Salcedo-Sanz, Ángel M. Pérez-Bellido, Emilio G. Ortíz-García, Antonio Portilla-Figueras, Luis Prieto, Francisco Correoso:
Accurate short-term wind speed prediction by exploiting diversity in input data using banks of artificial neural networks. 1336-1341 - Hui Xue, Yulian Zhu, Songcan Chen:
Local ridge regression for face recognition. 1342-1346 - M. Syed Ali, Pagavathigounder Balasubramaniam:
Exponential stability of uncertain stochastic fuzzy BAM neural networks with time-varying delays. 1347-1354 - Yao Zhang, Liang Huang:
A variant of P systems for optimization. 1355-1360 - Kyoobin Lee, Dong-Soo Kwon:
Rate coding of spike-timing dependent plasticity: Activity-variation-timing dependent plasticity (AVTDP). 1361-1368
Volume 72, Numbers 7-9, March 2009
- Frank-Michael Schleif, Michael Biehl, Alfredo Vellido:
Advances in machine learning and computational intelligence. 1377-1378 - Michaël Aupetit:
Nearly homogeneous multi-partitioning with a deterministic generator. 1379-1389 - Aree Witoelar, Michael Biehl:
Phase transitions in vector quantization and neural gas. 1390-1397 - Álvaro Barbero Jiménez, Jorge López Lázaro, José R. Dorronsoro:
Cycle-breaking acceleration of SVM training. 1398-1406 - Nicola Cancedda, Pierre Mahé:
Factored sequence kernels. 1407-1413 - Andriy Mnih, Zhang Yuecheng, Geoffrey E. Hinton:
Improving a statistical language model through non-linear prediction. 1414-1418 - Markus Hagenbuchner, Alessandro Sperduti, Ah Chung Tsoi:
Graph self-organizing maps for cyclic and unbounded graphs. 1419-1430 - John Aldo Lee, Michel Verleysen:
Quality assessment of dimensionality reduction: Rank-based criteria. 1431-1443 - Victor Onclinx, Vincent Wertz, Michel Verleysen:
Nonlinear data projection on non-Euclidean manifolds with controlled trade-off between trustworthiness and continuity. 1444-1454 - Nikolai Alex, Alexander Hasenfuss, Barbara Hammer:
Patch clustering for massive data sets. 1455-1469 - Alexander Denecke, Heiko Wersing, Jochen J. Steil, Edgar Körner:
Online figure-ground segmentation with adaptive metrics in generalized LVQ. 1470-1482 - Pedro J. García-Laencina, José-Luis Sancho-Gómez, Aníbal R. Figueiras-Vidal, Michel Verleysen:
K nearest neighbours with mutual information for simultaneous classification and missing data imputation. 1483-1493 - Benoît Frénay, Marco Saerens:
2S2, a simple reinforcement learning scheme for two-player zero-sum Markov games. 1494-1507 - Marc Peter Deisenroth, Carl Edward Rasmussen, Jan Peters:
Gaussian process dynamic programming. 1508-1524 - Thomas Burwick:
On the relevance of local synchronization for establishing a winner-take-all functionality of the gamma cycle. 1525-1533 - Xavier Dutoit, Benjamin Schrauwen, Jan Van Campenhout, Dirk Stroobandt, Hendrik Van Brussel, Marnix Nuttin:
Pruning and regularization in reservoir computing. 1534-1546 - Kai Labusch, Erhardt Barth, Thomas Martinetz:
Sparse Coding Neural Gas: Learning of overcomplete data representations. 1547-1555 - Heesung Lee, Sungjun Hong, Euntai Kim:
Neural network ensemble with probabilistic fusion and its application to gait recognition. 1557-1564 - Richard T. Gray, C. K. C. Fung, Peter A. Robinson:
Stability of small-world networks of neural populations. 1565-1574 - Bartosz Swiderski, Stanislaw Osowski, Andrzej Cichocki, Andrzej Rysz:
Single-class SVM and directed transfer function approach to the localization of the region containing epileptic focus. 1575-1583 - Xuemin Tian, Xiaoling Zhang, Xiaogang Deng, Sheng Chen:
Multiway kernel independent component analysis based on feature samples for batch process monitoring. 1584-1596 - Yunfeng Xue, Yujia Wang, Jie Yang:
Independent component analysis based on gradient equation and kernel density estimation. 1597-1604 - Tao Chen, Jianghong Ren:
Bagging for Gaussian process regression. 1605-1610 - Tarek Ahmed-Ali, Godpromesse Kenné, Françoise Lamnabhi-Lagarrigue:
Identification of nonlinear systems with time-varying parameters using a sliding-neural network observer. 1611-1620 - Yongkun Li, Xuerong Chen, Lu Zhao:
Stability and existence of periodic solutions to delayed Cohen-Grossberg BAM neural networks with impulses on time scales. 1621-1630 - Shuang Feng, Hongxing Li, Dan Hu:
A new training algorithm for HHFNN based on Gaussian membership function for approximation. 1631-1638 - Anas Quteishat, Chee Peng Lim, Jeffrey Tweedale, Lakhmi C. Jain:
A neural network-based multi-agent classifier system. 1639-1647 - Jing-Hao Xue, D. Mike Titterington:
Interpretation of hybrid generative/discriminative algorithms. 1648-1655 - María Teresa Signes Pont, Juan Manuel García Chamizo, Gregorio de Miguel Casado, Higinio Mora Mora:
Computational framework for behavioural modelling of neural subsystems. 1656-1667 - Daniel Graves, Witold Pedrycz:
Fuzzy prediction architecture using recurrent neural networks. 1668-1678 - Yunong Zhang, Weimu Ma, Xiaodong Li, Hongzhou Tan, Ke Chen:
MATLAB Simulink modeling and simulation of LVI-based primal-dual neural network for solving linear and quadratic programs. 1679-1687 - Jie Zhou, Shuyong Li:
Global exponential stability of impulsive BAM neural networks with distributed delays. 1688-1693 - Yang Tang, Jian-An Fang, Qingying Miao:
On the exponential synchronization of stochastic jumping chaotic neural networks with mixed delays and sector-bounded non-linearities. 1694-1701 - Hongjun Xiang, Jinde Cao:
Exponential stability of periodic solution to Cohen-Grossberg-type BAM networks with time-varying delays. 1702-1711 - Zunshui Cheng, Jinde Cao:
Bifurcation control in small-world networks. 1712-1718 - Chunxia Zhang, Shiming Xiang, Feiping Nie, Yangqiu Song:
Nonlinear dimensionality reduction with relative distance comparison. 1719-1731 - Zhiwei Shi, Min Han:
gamma-C plane and robustness in static reservoir for nonlinear regression estimation. 1732-1743 - Chengde Zheng, Huaguang Zhang, Zhanshan Wang:
Novel delay-dependent criteria for global robust exponential stability of delayed cellular neural networks with norm-bounded uncertainties. 1744-1754 - Lifeng Shang, Zhang Yi, Luping Ji:
Constrained ZIP code segmentation by a PCNN-based thinning algorithm. 1755-1762 - Kuo-Hsiang Cheng:
CMAC-based neuro-fuzzy approach for complex system modeling. 1763-1774 - Juan Cao, Tian Xia, Jintao Li, Yongdong Zhang, Sheng Tang:
A density-based method for adaptive LDA model selection. 1775-1781 - Qiankun Song, Jinling Liang, Zidong Wang:
Passivity analysis of discrete-time stochastic neural networks with time-varying delays. 1782-1788 - Xiaoyang Liu, Nan Jiang:
Robust stability analysis of generalized neural networks with multiple discrete delays and multiple distributed delays. 1789-1796 - Gholam Ali Montazer, Reza Sabzevari, Fatemeh Ghorbani:
Three-phase strategy for the OSD learning method in RBF neural networks. 1797-1802 - Yongqiang Zhou, Shouming Zhong, Mao Ye, Zhiyuan Shi:
Global asymptotic stability analysis of nonlinear differential equations in hybrid bidirectional associative memory neural networks with distributed time-varying delays. 1803-1807 - Yi-Chung Hu:
Functional-link nets with genetic-algorithm-based learning for robust nonlinear interval regression analysis. 1808-1816 - Peyman Adibi, Reza Safabakhsh:
Linear manifold topographic map formation based on an energy function with on-line adaptation rules. 1817-1825 - Xiaoping Xue, Wei Bian:
A project neural network for solving degenerate quadratic minimax problem with linear constraints. 1826-1838 - Qinglai Wei, Huaguang Zhang, Jing Dai:
Model-free multiobjective approximate dynamic programming for discrete-time nonlinear systems with general performance index functions. 1839-1848 - Richard T. Gray, Peter A. Robinson:
Stability of random brain networks with excitatory and inhibitory connections. 1849-1858 - Piotr Juszczak, David M. J. Tax, Elzbieta Pekalska, Robert P. W. Duin:
Minimum spanning tree based one-class classifier. 1859-1869 - Catherine Vairappan, Hiroki Tamura, Shangce Gao, Zheng Tang:
Batch type local search-based adaptive neuro-fuzzy inference system (ANFIS) with self-feedbacks for time-series prediction. 1870-1877 - Chen Qiao, Zongben Xu:
A critical global convergence analysis of recurrent neural networks with general projection mappings. 1878-1886 - Laura Y. Zhao, Bertram E. Shi:
Integrating contrast invariance into a model for cortical orientation map formation. 1887-1899 - Ioannis Partalas, Grigorios Tsoumakas, Ioannis P. Vlahavas:
Pruning an ensemble of classifiers via reinforcement learning. 1900-1909 - Ichiro Igari, Jun Tani:
Incremental learning of sequence patterns with a modular network model. 1910-1919 - Hung-Ching Lu, Chih-Ying Chuang, Ming-Feng Yeh:
Design of a hybrid adaptive CMAC with supervisory controller for a class of nonlinear system. 1920-1933 - Ahmad Bagheri, Jalal Javadi Moghaddam:
Simulation and tracking control based on neural-network strategy and sliding-mode control for underwater remotely operated vehicle. 1934-1950 - Dattatray V. Jadhav, Raghunath S. Holambe:
Feature extraction using Radon and wavelet transforms with application to face recognition. 1951-1959 - Qutang Cai, Changshui Zhang, Chunyi Peng:
Analysis of classification margin for classification accuracy with applications. 1960-1968 - Juan Ignacio Mulero Martínez:
Analysis of the errors in the modelling of manipulators with Gaussian RBF neural networks. 1969-1978 - Fumihiko Ishida, Takahiro Sasaki, Yutaka Sakaguchi, Hiroyuki Shimai:
Reinforcement-learning agents with different temperature parameters explain the variety of human action-selection behavior in a Markov decision process task. 1979-1984 - Qing Zhu, Tianping Zhang, Shumin Fei, Kan-Jian Zhang, Tao Li:
Adaptive neural control for a class of output feedback time delay nonlinear systems. 1985-1992 - Jin-Liang Shao, Ting-Zhu Huang, Sheng Zhou:
An analysis on global robust exponential stability of neural networks with time-varying delays. 1993-1998 - Meng Dong, Huaguang Zhang, Yingchun Wang:
Dynamics analysis of impulsive stochastic Cohen-Grossberg neural networks with Markovian jumping and mixed time delays. 1999-2004 - Daniel Schneegaß:
On the bias of batch Bellman residual minimisation. 2005-2008 - Hongbin Du, Xiaochuan Chen:
NN-based output feedback adaptive variable structure control for a class of non-affine nonlinear systems: A nonseparation principle design. 2009-2016 - Hongyi Li, Bing Chen, Chong Lin, Qi Zhou:
Mean square exponential stability of stochastic fuzzy Hopfield neural networks with discrete and distributed time-varying delays. 2017-2023 - Shohei Shimizu, Patrik O. Hoyer, Aapo Hyvärinen:
Estimation of linear non-Gaussian acyclic models for latent factors. 2024-2027 - Stefano Rovetta, Francesco Masulli, Maurizio Filippone:
Soft ranking in clustering. 2028-2031 - M. Anzinger, Frank Rattay:
The role of inhibition in central pattern generators: A simulation study. 2032-2034 - Fei Wang, Xin Wang:
Neighborhood discriminant tensor mapping. 2035-2039 - Xin Pan, Qiuqi Ruan:
Palmprint recognition using Gabor-based local invariant features. 2040-2045 - Xiang Peng, Irwin King:
A biased minimax probability machine-based scheme for relevance feedback in image retrieval. 2046-2051
Volume 72, Numbers 10-12, June 2009
- Manuel Graña:
Lattice computing and natural computing. 2065-2066 - Vassilis G. Kaburlasos, Stelios E. Papadakis:
A granular extension of the fuzzy-ARTMAP (FAM) neural classifier based on fuzzy lattice reasoning (FLR). 2067-2078 - Assem Kaylani, Michael Georgiopoulos, Mansooreh Mollaghasemi, Georgios C. Anagnostopoulos:
AG-ART: An adaptive approach to evolving ART architectures. 2079-2092 - H. Chris Tseng, Bassam Almogahed:
Modular neural networks with applications to pattern profiling problems. 2093-2100 - Gerhard X. Ritter, Gonzalo Urcid, Mark S. Schmalz:
Autonomous single-pass endmember approximation using lattice auto-associative memories. 2101-2110 - Manuel Graña, Ivan Villaverde, José Orlando Maldonado, Carmen Hernández:
Two lattice computing approaches for the unsupervised segmentation of hyperspectral images. 2111-2120 - Vassilis G. Kaburlasos, Lefteris Moussiades, Athena Vakali:
Fuzzy lattice reasoning (FLR) type neural computation for weighted graph partitioning. 2121-2133 - Francisco Bellas, José Antonio Becerra, Richard J. Duro:
Using promoters and functional introns in genetic algorithms for neuroevolutionary learning in non-stationary problems. 2134-2145 - Maite García-Sebastián, Carmen Hernández, Alicia D'Anjou:
Robustness of an adaptive MRI segmentation algorithm parametric intensity inhomogeneity modeling. 2146-2152 - Nadia Nedjah, Luiza de Macedo Mourelle:
Neural networks in intelligent systems design. 2153 - Fábio Darios Freitas, Alberto F. De Souza, Ailson R. de Almeida:
Prediction-based portfolio optimization model using neural networks. 2155-2170 - Nadia Nedjah, Rodrigo Martins da Silva, Luiza de Macedo Mourelle, Marcus Vinícius Carvalho da Silva:
Dynamic MAC-based architecture of artificial neural networks suitable for hardware implementation on FPGAs. 2171-2179 - Alexandre C. B. Delbem, Leonardo Garcia Correa, Liang Zhao:
Design of associative memories using cellular neural networks. 2180-2188 - Thiago A. S. Masutti, Leandro Nunes de Castro:
Neuro-immune approach to solve routing problems. 2189-2197 - Marcos G. Quiles, Liang Zhao, Fabricio A. Breve, Roseli A. Francelin Romero:
A network of integrate and fire neurons for visual selection. 2198-2208 - Alberto Ferreira de Souza, Felipe Pedroni, Elias Oliveira, Patrick Marques Ciarelli, Wallace Favoreto Henrique, Lucas de Paula Veronese, Claudine Badue:
Automated multi-label text categorization with VG-RAM weightless neural networks. 2209-2217 - Xinsong Yang:
Existence and global exponential stability of periodic solution for Cohen-Grossberg shunting inhibitory cellular neural networks with delays and impulses. 2219-2226 - Md. Faijul Amin, Md. Monirul Islam, Kazuyuki Murase:
Ensemble of single-layered complex-valued neural networks for classification tasks. 2227-2234 - Qinggang Wang, Jianwei Li:
Combining local and global information for nonlinear dimensionality reduction. 2235-2241 - Yadong Liu, Dewen Hu, Zongtan Zhou, Fayi Liu:
Local region structured noise reduction for cortical optical imaging. 2242-2248 - Zhizheng Liang, Youfu Li:
Incremental support vector machine learning in the primal and applications. 2249-2258 - Xiaoqian Xu, Dah-Jye Lee, Sameer K. Antani, L. Rodney Long, James K. Archibald:
Using relevance feedback with short-term memory for content-based spine X-ray image retrieval. 2259-2269 - Douglas A. G. Vieira, Xisto Lucas Travassos, Rodney R. Saldanha, Vasile Palade:
Signal denoising in engineering problems through the minimum gradient method. 2270-2275 - Rui Xu, Yen-Wei Chen:
Generalized N-dimensional principal component analysis (GND-PCA) and its application on construction of statistical appearance models for medical volumes with fewer samples. 2276-2287 - Di Xiao, Xiaofeng Liao, Yong Wang:
Parallel keyed hash function construction based on chaotic neural network. 2288-2296 - Amornchai Arpornwichanop, Natthapong Shomchoam:
Control of fed-batch bioreactors by a hybrid on-line optimal control strategy and neural network estimator. 2297-2302 - Jinxian Li, Jurang Yan:
Dynamical analysis of Cohen-Grossberg neural networks with time-delays and impulses. 2303-2309 - Mehran Emadi Andani, Fariba Bahrami, Parviz Jabehdar Maralani:
AMA-MOSAICI: An automatic module assigning hierarchical structure to control human motion based on movement decomposition. 2310-2318 - Junjie Wu, Hui Xiong, Jian Chen:
Towards understanding hierarchical clustering: A data distribution perspective. 2319-2330 - Dongming Zhou, Rencan Nie, Dongfeng Zhao:
Analysis of autowave characteristics for competitive pulse coupled neural network and its application. 2331-2336 - João C. Martins, Pedro Tomás, Leonel Sousa:
Neural code metrics: Analysis and application to the assessment of neural models. 2337-2350 - Akiko Takeda:
Generalization performance of nu-support vector classifier based on conditional value-at-risk minimization. 2351-2358 - Rozaida Ghazali, Abir Jaafar Hussain, Nazri Mohd Nawi, Baharuddin Mohamad:
Non-stationary and stationary prediction of financial time series using dynamic ridge polynomial neural network. 2359-2367 - Chenping Hou, Jing Wang, Yi Wu, Dongyun Yi:
Local linear transformation embedding. 2368-2378 - Yuanyuan Wu, Yuqiang Wu, Yonggang Chen:
Mean square exponential stability of uncertain stochastic neural networks with time-varying delay. 2379-2384 - Ioannis G. Tsoulos, Dimitris Gavrilis, Euripidis Glavas:
Solving differential equations with constructed neural networks. 2385-2391 - Simon J. Haggett, Dominique F. Chu:
Evolving novelty detectors for specific applications. 2392-2405 - Tareq Jaber, Abbes Amira, Peter Milligan:
TDM modeling and evaluation of different domain transforms for LSI. 2406-2417 - Yung-Chi Hsu, Sheng-Fuu Lin:
Reinforcement group cooperation-based symbiotic evolution for recurrent wavelet-based neuro-fuzzy systems. 2418-2432 - Dongbo Zhang, Yaonan Wang, Huixian Huang:
Rough neural network modeling based on fuzzy rough model and its application to texture classification. 2433-2443 - Zhe Wang, Songcan Chen:
Multi-view kernel machine on single-view data. 2444-2449 - Yuan Yuan, Yanwei Pang, Jing Pan, Xuelong Li:
Scene segmentation based on IPCA for visual surveillance. 2450-2454 - Haijun Jiang, Zhidong Teng:
Boundedness, periodic solutions and global stability for cellular neural networks with variable coefficients and infinite delays. 2455-2463 - Chia-Feng Juang, Wen-Kai Sun, Guo-Cyuan Chen:
Object detection by color histogram-based fuzzy classifier with support vector learning. 2464-2476 - Alexander V. Goltsev, Vladimir Gritsenko:
Modular neural networks with Hebbian learning rule. 2477-2482 - Xiao Zhi Gao, Xiaolei Wang, Seppo J. Ovaska:
Fusion of clonal selection algorithm and differential evolution method in training cascade-correlation neural network. 2483-2490 - Shankar Bhausaheb Nikam, Suneeta Agarwal:
Ridgelet-based fake fingerprint detection. 2491-2506 - Ricardo de A. Araújo, Tiago A. E. Ferreira:
An intelligent hybrid morphological-rank-linear method for financial time series prediction. 2507-2524 - Bao Rong Chang, Hsiu Fen Tsai:
Quantum-minimized BWGC/NGARCH approach to financial time series forecast. 2525-2535 - Mario G. C. A. Cimino, Witold Pedrycz, Beatrice Lazzerini, Francesco Marcelloni:
Using multilayer perceptrons as receptive fields in the design of neural networks. 2536-2548 - Jia Liu, Guangdeng Zong:
New delay-dependent asymptotic stability conditions concerning BAM neural networks of neutral type. 2549-2555 - Hongjuan Zhang, Zhenwei Shi, Chonghui Guo:
Blind source extraction based on generalized autocorrelations and complexity pursuit. 2556-2562 - Chunwei Song, Huijun Gao, Wei Xing Zheng:
A new approach to stability analysis of discrete-time recurrent neural networks with time-varying delay. 2563-2568 - Liang Zhao, Yupu Yang, Yong Zeng:
Eliciting compact T-S fuzzy models using subtractive clustering and coevolutionary particle swarm optimization. 2569-2575 - Jun-e Feng, Shengyuan Xu, Yun Zou:
Delay-dependent stability of neutral type neural networks with distributed delays. 2576-2580 - Xiaozhe Wang, Kate Amanda Smith-Miles, Rob J. Hyndman:
Rule induction for forecasting method selection: Meta-learning the characteristics of univariate time series. 2581-2594 - Mousa T. Al-Akhras, H. Zedan, R. John, Iman M. Almomani:
Non-intrusive speech quality prediction in VoIP networks using a neural network approach. 2595-2608 - Jin Zhu, Qingling Zhang, Chunyu Yang:
Delay-dependent robust stability for Hopfield neural networks of neutral-type. 2609-2617 - Minvydas Ragulskis, Kristina Lukoseviciute:
Non-uniform attractor embedding for time series forecasting by fuzzy inference systems. 2618-2626 - Lei Chen, Guang-Bin Huang, Hung Keng Pung:
Systemical convergence rate analysis of convex incremental feedforward neural networks. 2627-2635 - Yih-Guang Leu, Wei-Yen Wang, I-Hsum Li:
RGA-based on-line tuning of BMF fuzzy-neural networks for adaptive control of uncertain nonlinear systems. 2636-2642 - Jia-yang Wang, Jie Zhou:
Research of reduct features in the variable precision rough set model. 2643-2648 - Jarkko Tikka:
Simultaneous input variable and basis function selection for RBF networks. 2649-2658 - Haiqin Yang, Kaizhu Huang, Irwin King, Michael R. Lyu:
Localized support vector regression for time series prediction. 2659-2669 - Sheng Chen, Xia Hong, Bing Lam Luk, Chris J. Harris:
Orthogonal-least-squares regression: A unified approach for data modelling. 2670-2681 - Qian Du, Ivica Kopriva:
Dependent component analysis for blind restoration of images degraded by turbulent atmosphere. 2682-2692 - Ryotaro Kamimura:
An information-theoretic approach to feature extraction in competitive learning. 2693-2704 - Keyun Ma, Li Yu, Wen-an Zhang:
Global exponential stability of cellular neural networks with time-varying discrete and distributed delays. 2705-2709 - Dipti Srinivasan, Chee Wai Chan, P. G. Balaji:
Computational intelligence-based congestion prediction for a dynamic urban street network. 2710-2716
Volume 72, Numbers 13-15, August 2009
- Ajith Abraham, Emilio Corchado, Juan M. Corchado:
Hybrid learning machines. 2729-2730 - Pedro Antonio Gutiérrez, César Hervás, Mariano Carbonero-Ruz, Juan Carlos Fernández:
Combined projection and kernel basis functions for classification in evolutionary neural networks. 2731-2742 - Juan M. Corchado, Javier Bajo, Juan Francisco de Paz, Sara Rodríguez:
An execution time neural-CBR guidance assistant. 2743-2753 - Guiomar Corral, Eva Armengol, Albert Fornells, Elisabet Golobardes:
Explanations of unsupervised learning clustering applied to data security analysis. 2754-2762 - Katti Faceli, Marcílio Carlos Pereira de Souto, Daniel S. A. de Araujo, André Carlos Ponce de Leon Ferreira de Carvalho:
Multi-objective clustering ensemble for gene expression data analysis. 2763-2774 - Álvaro Herrero, Emilio Corchado, María A. Pellicer, Ajith Abraham:
MOVIH-IDS: A mobile-visualization hybrid intrusion detection system. 2775-2784 - Emilio Serrano, Jorge J. Gómez-Sanz, Juan A. Botía, Juan Pavón:
Intelligent data analysis applied to debug complex software systems. 2785-2795 - Ke Tang, Minlong Lin, Fernanda L. Minku, Xin Yao:
Selective negative correlation learning approach to incremental learning. 2796-2805 - José Antonio Martín H., Javier de Lope Asiaín, Matilde Santos Peñas:
A method to learn the inverse kinematics of multi-link robots by evolving neuro-controllers. 2806-2814 - He Ni, Hujun Yin:
Exchange rate prediction using hybrid neural networks and trading indicators. 2815-2823 - Álvaro Barbero Jiménez, Jorge López Lázaro, José R. Dorronsoro:
Finding optimal model parameters by deterministic and annealed focused grid search. 2824-2832
- Jingtao Yao, Qingfu Zhang, Jingsheng Lei:
Recent developments in natural computation. 2833-2834 - Evren Daglarli, Hakan Temeltas, S. Murat Yesiloglu:
Behavioral task processing for cognitive robots using artificial emotions. 2835-2844 - Pawalai Kraipeerapun, Chun Che Fung:
Binary classification using ensemble neural networks and interval neutrosophic sets. 2845-2856 - Hong-Wei Ge, Wenli Du, Feng Qian, Yanchun Liang:
Identification and control of nonlinear systems by a time-delay recurrent neural network. 2857-2864 - Joseph P. Herbert, Jingtao Yao:
A granular computing framework for self-organizing maps. 2865-2872 - Qin Ju, Zhongbo Yu, Zhenchun Hao, Gengxin Ou, Jian Zhao, Dedong Liu:
Division-based rainfall-runoff simulations with BP neural networks and Xinanjiang model. 2873-2883 - Yeqiu Li, Jianming Lu, Ling Wang, Takashi Yahagi:
Denoising by using multineural networks for medical X-ray imaging applications. 2884-2891 - Yo-Hsien Lin, Jong-Chen Chen, Chao-Yi Huang:
Design and implementation of an artificial neuromolecular chip and its applications to pattern classification problems. 2892-2901 - Pei Liu:
A self-organizing feature maps and data mining based decision support system for liability authentications of traffic crashes. 2902-2908 - Chengcai Ma, Xiaodong Gu, Yuanyuan Wang:
Fault diagnosis of power electronic system based on fault gradation and neural network group. 2909-2914 - Predrag Neskovic, Ian Sherman, Liang Wu, Leon N. Cooper:
Learning faces with the BIAS model: On the importance of the sizes and locations of fixation regions. 2915-2922 - Rodrigo Ventura, Carlos Pinto-Ferreira:
Responding efficiently to relevant stimuli using an emotion-based agent architecture. 2923-2930 - Shuisheng Zhou, Hongwei Liu, Feng Ye:
Variant of Gaussian kernel and parameter setting method for nonlinear SVM. 2931-2937
- Roozbeh Razavi-Far, Hadi Davilu, Vasile Palade, Caro Lucas:
Model-based fault detection and isolation of a steam generator using neuro-fuzzy networks. 2939-2951 - Ignacio Barrio, Enrique Romero, Lluís Belanche:
An experimental study on methods for the selection of basis functions in regression. 2952-2963 - Sylvain Lespinats, Bernard Fertil, Pierre Villemain, Jeanny Hérault:
RankVisu: Mapping from the neighborhood network. 2964-2978 - Zhiguo Zhang:
Iterative algorithm of wavelet network learning from nonuniform data. 2979-2999 - Aristotelis E. Kostopoulos, T. N. Grapsa:
Self-scaled conjugate gradient training algorithms. 3000-3019 - I. Mora-Jiménez, Aníbal R. Figueiras-Vidal:
Improving performance of neural classifiers via selective reduction of target levels. 3020-3027 - XiaoBin Wang, Hong Qu, Zhang Yi:
A modified pulse coupled neural network for shortest-path problem. 3028-3033 - Teresa Orlowska-Kowalska, Marcin Kaminski:
Application of the OBD method for optimization of neural state variable estimators of the two-mass drive system. 3034-3045 - Haiquan Zhao, Jiashu Zhang:
Nonlinear dynamic system identification using pipelined functional link artificial recurrent neural network. 3046-3054 - Xun Liang, Haisheng Zhang, Jianguo Xiao, Ying Chen:
Improving option price forecasts with neural networks and support vector regressions. 3055-3065 - Xiaoliang Tang, Min Han:
Partial Lanczos extreme learning machine for single-output regression problems. 3066-3076 - Tinghua Wang, Shengfeng Tian, Houkuan Huang, Dayong Deng:
Learning by local kernel polarization. 3077-3084 - Alfredo Vellido, Enrique Romero, Félix Fernando González-Navarro, Lluís A. Belanche Muñoz, Margarida Julià-Sapé, Carles Arús:
Outlier exploration and diagnostic classification of a multi-centre 1H-MRS brain tumour database. 3085-3097 - Hengjie Song, Chunyan Miao, Zhiqi Shen, Yuan Miao, Bu-Sung Lee:
A fuzzy neural network with fuzzy impact grades. 3098-3122 - Min Xia, Jian-An Fang, Feng Pan, Enjian Bai:
Robust sequence memory in sparsely-connected networks with controllable steady-state period. 3123-3130 - Oumar Diene, Amit Bhaya:
Perceptron training algorithms designed using discrete-time control Liapunov functions. 3131-3137 - Ewa Dudek-Dyduch, Ryszard Tadeusiewicz, Adrian Horzyk:
Neural network adaptation process effectiveness dependent of constant training data availability. 3138-3149 - Yi-Chung Hu:
Bankruptcy prediction using ELECTRE-based single-layer perceptron. 3150-3157 - Michael J. Healy, Richard D. Olinger, Robert J. Young, Shawn E. Taylor, Thomas P. Caudell, Kurt W. Larson:
Applying category theory to improve the performance of a neural architecture. 3158-3173 - Xinbo Gao, Ya Su, Xuelong Li, Dacheng Tao:
Gabor texture in active appearance models. 3174-3181 - Hyekyoung Lee, Andrzej Cichocki, Seungjin Choi:
Kernel nonnegative matrix factorization for spectral EEG feature extraction. 3182-3190 - Pavlo V. Tymoshchuk:
A discrete-time dynamic K-winners-take-all neural circuit. 3191-3202 - Tian Xia, Juan Cao, Yongdong Zhang, Jintao Li:
On defining affinity graph for spectral clustering through ranking on manifolds. 3203-3211 - V. G. Vassiliadis, Alexandros G. Rigas:
A semi-parametric test based on a quasi-likelihood approach for comparing the estimated spectra of two neural spike trains. 3212-3219 - Syuan-Yi Chen, Faa-Jeng Lin, Kuo-Kai Shyu:
Direct decentralized neural control for nonlinear MIMO magnetic levitation system. 3220-3230 - Pagavathigounder Balasubramaniam, R. Rakkiyappan:
Delay-dependent robust stability analysis of uncertain stochastic neural networks with discrete interval and distributed time-varying delays. 3231-3237 - Robert Cierniak:
New neural network algorithm for image reconstruction from fan-beam projections. 3238-3244 - Liang Hu, Hao Liu, Yingbo Zhao:
New stability criteria for BAM neural networks with time-varying delays. 3245-3252 - Yang Tang, Jian-An Fang:
Robust synchronization in an array of fuzzy delayed cellular neural networks with stochastically hybrid coupling. 3253-3262 - Haixia Wu, Xiaofeng Liao, Songtao Guo, Wei Feng, Zhengxia Wang:
Stochastic stability for uncertain genetic regulatory networks with interval time-varying delays. 3263-3276 - Wen-Fang Xie, Y. Q. Zhu, Z. Y. Zhao, Y. K. Wong:
Nonlinear system identification using optimized dynamic neural network. 3277-3287 - Qiankun Song:
Design of controller on synchronization of chaotic neural networks with mixed time-varying delays. 3288-3295 - Defeng Wang, Lin Shi, Pheng-Ann Heng:
Automatic detection of breast cancers in mammograms using structured support vector machines. 3296-3302 - Yi Wang, Jianwei Shen, Baoguo Niu, Zengrong Liu, Luonan Chen:
Robustness of interval gene networks with multiple time-varying delays and noise. 3303-3310 - Bing Li, Daoyi Xu:
Mean square asymptotic behavior of stochastic neural networks with infinitely distributed delays. 3311-3317 - Huicheng Zheng, Wei Shen, Qionghai Dai, Sanqing Hu, Zhe-Ming Lu:
Learning nonlinear manifolds based on mixtures of localized linear manifolds under a self-organizing framework. 3318-3330 - Chengde Zheng, Lai-Bing Lu, Zhanshan Wang:
New LMT-based delay-dependent criterion for global asymptotic stability of cellular neural networks. 3331-3336 - Zhengguang Wu, Hongye Su, Jian Chu, Wuneng Zhou:
New results on robust exponential stability for discrete recurrent neural networks with time-varying delays. 3337-3342 - Yijun Zhang, Shengyuan Xu, Zhenping Zeng:
Novel robust stability criteria of discrete-time stochastic recurrent neural networks with time delay. 3343-3351 - Chuangxia Huang, Jinde Cao:
Almost sure exponential stability of stochastic cellular neural networks with unbounded distributed delays. 3352-3356
- Wuneng Zhou, Hongqian Lu, Chunmei Duan:
Exponential stability of hybrid stochastic neural networks with mixed time delays and nonlinearity. 3357-3365 - Takashi Takekawa, Tomoki Fukai:
A novel view of the variational Bayesian clustering. 3366-3369 - Jin Chen, Cheng Wang, Runsheng Wang:
Adaptive binary tree for fast SVM multiclass classification. 3370-3375 - Xun-Lin Zhu, Youyi Wang, Guang-Hong Yang:
New delay-dependent stability results for discrete-time recurrent neural networks with time-varying delay. 3376-3383 - Wankou Yang, Jianguo Wang, Mingwu Ren, Lei Zhang, Jingyu Yang:
Feature extraction using fuzzy inverse FDA. 3384-3390 - Yuan Lan, Yeng Chai Soh, Guang-Bin Huang:
Ensemble of online sequential extreme learning machine. 3391-3395 - Marcus Fraga Vieira, Leonardo Abdala Elias:
Accommodation in motoneuron models with passive dendrite: Response to linearly rising currents. 3396-3398 - Zilan Hu:
Comment on "Facial expression recognition based on two-dimensional discriminant locality preserving projections" [Neurocomputing 71 (2008) 1730-1734]. 3399-3400
Volume 72, Numbers 16-18, October 2009
- Mu-Yen Chen:
Financial Engineering. 3411-3412 - Marina Resta:
Seize the (intra)day: Features selection and rules extraction for tradings on high-frequency data. 3413-3427 - Kaijian He, Chi Xie, Shou Chen, Kin Keung Lai:
Estimating VaR in crude oil market: A novel multi-scale non-linear ensemble approach incorporating wavelet analysis and neural network. 3428-3438 - Md. Rafiul Hassan:
A combination of hidden Markov model and fuzzy model for stock market forecasting. 3439-3446 - Tetsuya Shimokawa, Kyoko Suzuki, Tadanobu Misawa, Yoshitaka Okano:
Predicting investment behavior: An augmented reinforcement learning model. 3447-3461 - Ching-Hsue Cheng, Liang-Ying Wei, You-Shyang Chen:
Fusion ANFIS models based on multi-stock volatility causality for TAIEX forecasting. 3462-3468 - Kiyoshi Izumi, Fujio Toriumi, Hiroki Matsui:
Evaluation of automated-trading strategies using an artificial market. 3469-3476 - Yu-Cheng Tang:
An approach to budget allocation for an aerospace company - Fuzzy analytic hierarchy process and artificial neural network. 3477-3489 - Chei-Chang Chiou:
Effects of Financial Holding Company Act on bank efficiency and productivity in Taiwan. 3490-3506 - Tzong-Huei Lin:
A cross model study of corporate financial distress prediction in Taiwan: Multiple discriminant analysis, logit, probit and neural networks models. 3507-3516 - Thira Chavarnakul, David Enke:
A hybrid stock trading system for intelligent technical analysis-based equivolume charting. 3517-3528 - He Ni, Hujun Yin:
A self-organising mixture autoregressive network for FX time series modelling and prediction. 3529-3537
- Joan Cabestany, Francisco Sandoval Hernández, Alberto Prieto:
Computational and ambient intelligence. 3539-3540 - Alberto Guillén, Héctor Pomares, Jesús González, Ignacio Rojas, Olga Valenzuela, Beatriz Prieto:
Parallel multiobjective memetic RBFNNs design and feature selection for function approximation problems. 3541-3555 - Maite García-Sebastián, Ana Isabel González, Manuel Graña:
An adaptive field rule for non-parametric MRI intensity inhomogeneity estimation algorithm. 3556-3569 - Mario Cámara, Julio Ortega Lopera, Francisco de Toro:
A single front genetic algorithm for parallel multi-objective optimization in dynamic environments. 3570-3579 - Vanessa Gómez-Verdejo, Michel Verleysen, Jérôme Fleury:
Information-theoretic feature selection for functional data classification. 3580-3589 - Frank-Michael Schleif, Thomas Villmann, Matthias Ongyerth:
Supervised data analysis and reliability estimation with exemplary application for spectral data. 3590-3601 - Arturo Berrones:
Characterization of the convergence of stationary Fokker-Planck learning. 3602-3608 - Thomas Jacob Koickal, Luiz Carlos Gouveia, Alister Hamilton:
A programmable spike-timing based circuit block for reconfigurable neuromorphic computing. 3609-3616 - Miguel Ángel López, Héctor Pomares, Francisco J. Pelayo, José M. Urquiza, Javier Perez:
Evidences of cognitive effects over auditory steady-state responses by means of artificial neural networks and its use in brain-computer interfaces. 3617-3623 - Diego E. Pardo, Cecilio Angulo, Sergi del Moral, Andreu Català:
Emerging motor behaviors: Learning joint coordination in articulated mobile robots. 3624-3630 - Rafael Del Hoyo, Bonifacio Martín-del-Brío, Nicolás J. Medrano-Marqués, Julián Fernández-Navajas:
Computational intelligence tools for next generation quality of service management. 3631-3639 - José Ramón Salinas, Francisco García-Lagos, Gonzalo Joya Caparrós, Francisco Sandoval Hernández:
Sine-fitting multiharmonic algorithms implemented by artificial neural networks. 3640-3648 - Álvaro Herrero, Emilio Corchado, Paolo Gastaldo, Rodolfo Zunino:
Neural projection techniques for the visual inspection of network traffic. 3649-3658 - Jose Ignacio Serrano, M. Dolores del Castillo, Ángel Iglesias, Jesus Oliva:
Assessing aspects of reading by a connectionist model. 3659-3668
- Hongyang Liu, Lin Zhao, Zexu Zhang, Yan Ou:
Stochastic stability of Markovian jumping Hopfield neural networks with constant and distributed delays. 3669-3674 - Pagavathigounder Balasubramaniam, Shanmugam Lakshmanan, R. Rakkiyappan:
Delay-interval dependent robust stability criteria for stochastic neural networks with linear fractional uncertainties. 3675-3682 - Emilio G. Ortíz-García, Sancho Salcedo-Sanz, Ángel M. Pérez-Bellido, José Antonio Portilla-Figueras:
Improving the training time of support vector regression algorithms through novel hyper-parameters search space reductions. 3683-3691 - Elia Liitiäinen, Michel Verleysen, Francesco Corona, Amaury Lendasse:
Residual variance estimation in machine learning. 3692-3703 - Tapani Raiko, Matti Tornio:
Variational Bayesian learning of nonlinear hidden state-space models for model predictive control. 3704-3712 - Míriam Antón-Rodríguez, Francisco Javier Díaz Pernas, José Fernando Díez Higuera, Mario Martínez-Zarzuela, David González Ortega, Daniel Boto-Giralda:
Recognition of coloured and textured images through a multi-scale neural architecture with orientational filtering and chromatic diffusion. 3713-3725 - Liping Li, Lihong Huang:
Global asymptotic stability of delayed neural networks with discontinuous neuron activations. 3726-3733 - Xinjun Peng, Yifei Wang:
A normal least squares support vector machine (NLS-SVM) and its learning algorithm. 3734-3741 - Xinbo Gao, Chunna Tian:
Multi-view face recognition based on tensor subspace analysis and view manifold modeling. 3742-3750 - Hongjun Xiang, Jinhua Wang, Jinde Cao:
Almost periodic solution to Cohen-Grossberg-type BAM networks with distributed delays. 3751-3759 - Chao-Huang Wang, Chung-Nan Lee, Chaur-Heh Hsieh:
Classified self-organizing map with adaptive subcodebook for edge preserving vector quantization. 3760-3770 - Ramaswamy Savitha, Suresh Sundaram, N. Sundararajan, P. Saratchandran:
A new learning algorithm with logarithmic performance index for complex-valued neural networks. 3771-3781 - Wei Zhou, Jacek M. Zurada:
A class of discrete time recurrent neural networks with multivalued neurons. 3782-3788 - Yo Horikawa, Hiroyuki Kitajima:
Properties of variations in the periods of ring neural oscillators with noise. 3789-3794 - Mario González, David Dominguez, Francisco B. Rodríguez:
Block attractor in spatially organized neural networks. 3795-3801 - Lifen Yuan, Zhaohui Yuan, Yigang He:
Convergence of non-autonomous discrete-time Hopfield model with delays. 3802-3808 - Lei Zhang, Zhang Yi, Jiali Yu, Pheng-Ann Heng:
Some multistability properties of bidirectional associative memory recurrent neural networks with unsaturating piecewise linear transfer functions. 3809-3817 - Ning Wang, Meng Joo Er, Xianyao Meng:
A fast and accurate online self-organizing scheme for parsimonious fuzzy neural networks. 3818-3829 - Yang Tang, Jian-An Fang, Min Xia, Dongmei Yu:
Delay-distribution-dependent stability of stochastic discrete-time neural networks with randomly mixed time-varying delays. 3830-3838 - Jun Jiang, Jun Cheng, Xinglin Chen:
Registration for 3-D point cloud using angular-invariant feature. 3839-3844 - Jianlong Qiu, Jinde Cao:
Global synchronization of delay-coupled genetic oscillators. 3845-3850 - Girolamo Fornarelli, Antonio Giaquinto:
Adaptive particle swarm optimization for CNN associative memories design. 3851-3862 - Fernando Agustin Pazos, Amit Bhaya:
Control Liapunov function design of neural networks that solve convex optimization and variational inequality problems. 3863-3872 - Manli Li, Zhang Yi, Min Zhu:
Solving TSP by using Lotka-Volterra neural networks. 3873-3880 - Huiyu Zhou, Patrick R. Green, Andrew M. Wallace:
Estimation of epipolar geometry by linear mixed-effect modelling. 3881-3890 - Weisheng Chen, Yu-Ping Tian:
Neural network approximation for periodically disturbed functions and applications to control design. 3891-3900 - Guanjun Wang, Jinde Cao, Ming Xu:
Stability analysis for stochastic BAM neural networks with Markovian jumping parameters. 3901-3906 - Qiankun Song:
Synchronization analysis of coupled connected neural networks with mixed time delays. 3907-3914 - T. Kathirvalavakumar, S. Jeyaseeli Subavathi:
Neighborhood based modified backpropagation algorithm using adaptive learning parameters for training feedforward neural networks. 3915-3921 - Can Wang, Jun Zhao, Xiaofei He, Chun Chen, Jiajun Bu:
Image retrieval using nonlinear manifold embedding. 3922-3929 - Xiaodong Li, Shumin Fei, Tao Zhang:
Median MSD-based method for face recognition. 3930-3934 - Magdi Sadek Mahmoud:
New exponentially convergent state estimation method for delayed neural networks. 3935-3942 - Niranjan P. Bidargaddi, Madhu Chetty, Joarder Kamruzzaman:
Combining segmental semi-Markov models with neural networks for protein secondary structure prediction. 3943-3950
- Min-Ling Zhang, Zhijian Wang:
MIMLRBF: RBF neural networks for multi-instance multi-label learning. 3951-3956 - Yu-Long Qiao, Chun-Hui Zhao, Chun-Yan Song:
Complex wavelet based texture classification. 3957-3963
- Kwang-Baek Kim, Sungshin Kim:
Corrigendum to "A passport recognition and face verification using enhanced fuzzy ART based RBF network and PCA algorithm" [Neurocomputing 71 (2008) 3202-3210]. 3964
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