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ORCIDIEEE Transactions on Neural Networks, Volume 7
Volume 7, Number 1, January 1996
- Mohamad H. Hassoun:
Guest Editorial Neural Networks Council Awards. 1 - John O. Moody, Panos J. Antsaklis:
The dependence identification neural network construction algorithm. 3-15 - Jianchang Mao, Anil K. Jain:
A self-organizing network for hyperellipsoidal clustering (HEC). 16-29 - Asriel U. Levin, Kumpati S. Narendra:
Control of nonlinear dynamical systems using neural networks. II. Observability, identification, and control. 30-42 - David DeMers, Kenneth Kreutz-Delgado:
Canonical parameterization of excess motor degrees of freedom with self-organizing maps. 43-55 - Hans Henrik Thodberg:
A review of Bayesian neural networks with an application to near infrared spectroscopy. 56-72 - Vassilios Petridis, Athanasios Kehagias:
Modular neural networks for MAP classification of time series and the partition algorithm. 73-86 - Yi Zheng, James F. Greenleaf:
The effect of concave and convex weight adjustments on self-organizing maps. 87-96 - Frank J. Smieja:
The pandemonium system of reflective agents. 97-106 - Sarangapani Jagannathan, Frank L. Lewis:
Multilayer discrete-time neural-net controller with guaranteed performance. 107-130 - George Kechriotis, Elias S. Manolakos
:
Hopfield neural network implementation of the optimal CDMA multiuser detector. 131-141 - Jürgen Schmidhuber, Stefan Heil:
Sequential neural text compression. 142-146 - Jean Bégin, Robert Proulx:
Categorization in unsupervised neural networks: the Eidos model. 147-154 - Jenn-Chyou Bor, Chung-Yu Wu:
Analog electronic cochlea design using multiplexing switched-capacitor circuits. 155-166 - Chung-Yu Wu, Jeng-Feng Lan:
CMOS current-mode neural associative memory design with on-chip learning. 167-181 - Tetsuya Asai, Hideyo Yokotsuka, Tomoki Fukai:
A MOS circuit for a nonmonotonic neural network with excellent retrieval capabilities. 182-189 - Engsiong Chng, Sheng Chen, Bernard Mulgrew:
Gradient radial basis function networks for nonlinear and nonstationary time series prediction. 190-194 - Alexander Semyon Sherstinsky, Rosalind W. Picard:
On the efficiency of the orthogonal least squares training method for radial basis function networks. 195-200 - Najwa Sara Merchawi, Soundar R. T. Kumara, Chita R. Das:
A probabilistic model for the fault tolerance of multilayer perceptrons. 201-205 - Nicola Guglielmi, Roberto Guerrieri, Giorgio Baccarani:
Highly constrained neural networks for industrial quality control. 206-213 - Eduard Säckinger, Hans Peter Graf:
A board system for high-speed image analysis and neural networks. 214-221 - Dragan Obradovic:
On-line training of recurrent neural networks with continuous topology adaptation. 222-228 - George Chryssolouris, Moshin Lee, Alvin Ramsey:
Confidence interval prediction for neural network models. 229-232 - Zongben Xu, Guo-Qing Hu, Chung-Ping Kwong:
Some efficient strategies for improving the eigenstructure method in synthesis of feedback neural networks. 233-245 - Kadir Liano:
Robust error measure for supervised neural network learning with outliers. 246-250 - Marco Gori, Marco Maggini:
Optimal convergence of on-line backpropagation. 251-254 - Lachlan L. H. Andrew:
Comments on "On a novel unsupervised competitive learning algorithm for scalar quantization". 254-256 - Xiao-Hu Yu, Guo-An Chen:
Corrections to "On the Local Minima Free Condition of the Backpropagation Learning". 256 - Mohamad H. Hassoun:
Books in Brief-Book Reviews. 258
Volume 7, Number 2, March 1996
- Gamze Erten, Rodney M. Goodman:
Analog VLSI implementation for stereo correspondence between 2-D images. 266-277 - Jenq-Neng Hwang, Shih-Shien You, Shyh-Rong Lay, I-Chang Jou:
The cascade-correlation learning: a projection pursuit learning perspective. 278-289 - Yuri V. Andreyev, Yuri Belsky, Alexander S. Dmitriev, Dmitri A. Kuminov:
Information processing using dynamical chaos: neural networks implementation. 290-299 - Seth Wolpert, Evangelia Micheli-Tzanakou:
A neuromime in VLSI. 300-306 - Frans Coetzee, Virginia L. Stonick:
On a natural homotopy between linear and nonlinear single-layer networks. 307-317 - Frans Coetzee, Virginia L. Stonick:
On the uniqueness of weights in single-layer perceptrons. 318-325 - Clemente Rodríguez Lafuente, Santiago Rementeria, José Ignacio Martín, Alberto Lafuente, Javier Francisco Muguerza, Jesús M. Pérez:
A modular neural network approach to fault diagnosis. 326-340 - Robert J. Cimikowski, Paul Shope:
A neural-network algorithm for a graph layout problem. 341-345 - Gert Cauwenberghs:
An analog VLSI recurrent neural network learning a continuous-time trajectory. 346-361 - Ying Zhao, Christopher G. Atkeson:
Implementing projection pursuit learning. 362-373 - Sei-Wang Chen, George C. Stockman, Kuo-En Chang:
SO dynamic deformation for building of 3-D models. 374-387 - Frank L. Lewis, Aydin Yesildirek, Kai Liu:
Multilayer neural-net robot controller with guaranteed tracking performance. 388-399 - Ling Zhang, Bo Zhang, Gang Chen:
Generating and coding of fractal graphs by neural network and mathematical morphology methods. 400-407 - Edward S. Plumer:
Optimal control of terminal processes using neural networks. 408-418 - Nicolaos B. Karayiannis:
Accelerating the training of feedforward neural networks using generalized Hebbian rules for initializing the internal representations. 419-426 - Constantinos S. Pattichis, Christos N. Schizas:
Genetics-based machine learning for the assessment of certain neuromuscular disorders. 427-439 - Sa Hyun Bang, Bing J. Sheu, Tony H. Wu:
Optimal solutions for cellular neural networks by paralleled hardware annealing. 440-454 - Sukhan Lee, Jack Chien-Jan Pan:
Unconstrained handwritten numeral recognition based on radial basis competitive and cooperative networks with spatio-temporal feature representation. 455-474 - Adam Krzyzak, Tamás Linder, Gábor Lugosi:
Nonparametric estimation and classification using radial basis function nets and empirical risk minimization. 475-487 - Tony J. Allen, Keng-Shen Hung, K. Mervyn Curtis, John W. Orton:
Practical optoelectronic neural network realizations based on the fault tolerance of the backpropagation algorithm. 488-500 - Young R. Park, Thomas J. Murray, Chung Chen:
Predicting sun spots using a layered perceptron neural network. 501-505 - A. P. Almeida, José E. da Franca:
Digitally programmable analog building blocks for the implementation of artificial neural networks. 506-514 - Taek Mu Kwon, Hui Cheng:
Contrast enhancement for backpropagation. 515-524 - Youshen Xia:
A new neural network for solving linear programming problems and its application. 525-529 - Bonifacio Martín-del-Brío:
A dot product neuron for hardware implementation of competitive networks. 529-532 - Ramamohan Paturi:
Discrete Neural Computation: A Theoretical Foundation [Book Review]. 533
Volume 7, Number 3, May 1996
- Shannon R. Campbell, DeLiang Wang:
Synchronization and desynchronization in a network of locally coupled Wilson-Cowan oscillators. 541-554 - Ming Zhang, John Fulcher:
Face recognition using artificial neural network group-based adaptive tolerance (GAT) trees. 555-567 - Poh Lian Choong, Christopher J. S. de Silva, Hugh J. S. Dawkins, Gregory F. Sterrett:
Entropy maximization networks: an application to breast cancer prognosis. 568-577 - Paul Benedict Watta, Mohamad H. Hassoun:
A coupled gradient network approach for static and temporal mixed-integer optimization. 578-593 - Srikanth Thirumalai, Narendra Ahuja:
Parallel distributed detection of feature trajectories in multiple discontinuous motion image sequences. 594-603 - Nicolò Cesa-Bianchi, Philip M. Long, Manfred K. Warmuth:
Worst-case quadratic loss bounds for prediction using linear functions and gradient descent. 604-619 - Amit Bhaya, Eugenius Kaszkurewicz, Victor S. Kozyakin:
Existence and stability of a unique equilibrium in continuous-valued discrete-time asynchronous Hopfield neural networks. 620-628 - Kazuo Tanaka:
An approach to stability criteria of neural-network control systems. 629-642 - Xin-Yu Wu, You-Shen Xia, Jianmin Li, Wai-Kai Chen:
A high-performance neural network for solving linear and quadratic programming problems. 643-651 - Yasuo Matsuyama:
Harmonic competition: a self-organizing multiple criteria optimization. 652-668 - Ferdinand Peper, Mehdi N. Shirazi:
A categorizing associative memory using an adaptive classifier and sparse coding. 669-675 - Dilip Sarkar:
Randomness in generalization ability: a source to improve it. 676-685 - Scott Thomas Acton, Alan Conrad Bovik:
Generalized deterministic annealing. 686-699 - Majeed M. Hayat, Bahaa E. A. Saleh, John A. Gubner:
Shot-noise-limited performance of optical neural networks. 700-708 - Cheng-Jian Lin, Chin-Teng Lin:
Reinforcement learning for an ART-based fuzzy adaptive learning control network. 709-731 - Nirwan Ansari, Ambalavanar Arulambalam, Santhalingam Balasekar:
Traffic management of a satellite communication network using stochastic optimization. 732-744 - Suwat Kuntanapreeda, R. Rees Fullmer:
A training rule which guarantees finite-region stability for a class of closed-loop neural-network control systems. 745-751 - Aristides S. Galanopoulos, Stanley C. Ahalt:
Codeword distribution for frequency sensitive competitive learning with one-dimensional input data. 752-756 - LiMin Fu, Hui-Huang Hsu, José C. Príncipe:
Incremental backpropagation learning networks. 757-761 - Qiangfu Zhao, Tatsuo Higuchi:
Evolutionary learning of nearest-neighbor MLP. 762-767 - Gou-Jen Wang, Chih-Cheng Chen:
A fast multilayer neural-network training algorithm based on the layer-by-layer optimizing procedures. 768-775 - Kenneth J. Hunt, Roland E. Haas, Roderick Murray-Smith:
Extending the functional equivalence of radial basis function networks and fuzzy inference systems. 776-781 - Liang Jin, Madan M. Gupta:
Equilibrium capacity of analog feedback neural networks. 782-787 - Ethem Alpaydin, Michael I. Jordan:
Local linear perceptrons for classification. 788-794 - Payman Arabshahi:
Fundamentals of Artificial Neural Networks [Book Reviews]. 793
Volume 7, Number 4, July 1996
- Hiro-Fumi Yanai, Shun-ichi Amari:
Auto-associative memory with two-stage dynamics of nonmonotonic neurons. 803-815 - Gwang Hoon Park, Yoh-Han Pao, Boris Igelnik, Kurt G. Eyink, Steven R. LeClair:
Neural-net computing for interpretation of semiconductor film optical ellipsometry parameters. 816-829 - Athanasios V. Vasilakos, Nikolaos H. Loukas:
ANASA-a stochastic reinforcement algorithm for real-valued neural computation. 830-842 - Vir V. Phoha, William J. B. Oldham:
Image recovery and segmentation using competitive learning in a layered network. 843-856 - Zeeman Z. Zhang, Nirwan Ansari:
Structure and properties of generalized adaptive neural filters for signal enhancement. 857-868 - Bruce A. Whitehead, Timothy D. Choate:
Cooperative-competitive genetic evolution of radial basis function centers and widths for time series prediction. 869-880 - Robin D. Morris, A. David M. Garvin:
Fast probabilistic self-structuring of generalized single-layer networks. 881-888 - Mustafa Kuzuoglu, Kemal Leblebicioglu:
Infinite-dimensional multilayer perceptrons. 889-896 - Alireza Khotanzad, James Jiann-Haw Liou:
Recognition and pose estimation of unoccluded three-dimensional objects from a two-dimensional perspective view by banks of neural networks. 897-906 - Anuradha M. Annaswamy, Ssu-Hsin Yu:
θ-adaptive neural networks: a new approach to parameter estimation. 907-918 - Tom Heskes, Wim Wiegerinck:
A theoretical comparison of batch-mode, on-line, cyclic, and almost-cyclic learning. 919-925 - Nageswara S. V. Rao, Vladimir A. Protopopescu, Reinhold C. Mann, E. M. Oblow, S. Sitharama Iyengar:
Learning algorithms for feedforward networks based on finite samples. 926-940 - Boo-Ho Yang, Haruhiko Asada:
Progressive learning and its application to robot impedance learning. 941-952 - Hanzhong Gu, Haruhisa Takahashi:
Towards more practical average bounds on supervised learning. 953-968 - Vladimir Cherkassky, Don Gehring, Filip Mulier:
Comparison of adaptive methods for function estimation from samples. 969-984 - Guo-Qing Wei, Gerd Hirzinger:
Learning shape from shading by a multilayer network. 985-995 - Yuguang Fang, Thomas G. Kincaid:
Stability analysis of dynamical neural networks. 996-1006 - Jean M. Steppe, Kenneth W. Bauer Jr., Steven K. Rogers:
Integrated feature architecture selection. 1007-1014 - Sanjay I. Mistry, Shao-Liang Chang, Satish S. Nair:
Indirect control of a class of nonlinear dynamic systems. 1015-1023 - Liang Jin, Madan M. Gupta:
Globally asymptotical stability of discrete-time analog neural networks. 1024-1031 - Akira Hirose, Rolf Eckmiller:
Behavior control of coherent-type neural networks by carrier-frequency modulation. 1032-1034 - Iulian B. Ciocoiu:
Analog decoding using a gradient-type neural network. 1034-1038 - Tommy W. S. Chow, Chi-Tat Leung:
Performance enhancement using nonlinear preprocessing. 1039-1042 - Ferdinand Peper, Hideki Noda:
A symmetric linear neural network that learns principal components and their variances. 1042-1047 - Stefan C. Kremer:
Comments on "Constructive learning of recurrent neural networks: limitations of recurrent cascade correlation and a simple solution". 1047-1051 - Yongfeng Miao:
Comments on "Principal component extraction using recursive least squares learning". 1052 - Mohamad H. Hassoun:
Neural Networks in Bioprocessing and Chemical Engineering [Books in Brief]. 1053 - Mohamad H. Hassoun:
Solving Problems in Environmental Engineering and Geosciences with Artificial Neural Networks [Books. 1053
Volume 7, Number 5, September 1996
- Kurt Hornik:
Guest Editorial How to Submit Letters. 1061 - Nicolaos B. Karayiannis, James C. Bezdek, Nikhil R. Pal, Richard J. Hathaway, Pin-I Pai:
Repairs to GLVQ: a new family of competitive learning schemes. 1062-1071 - Chin-Chi Teng, Benjamin W. Wah:
Automated learning for reducing the configuration of a feedforward neural network. 1072-1085 - Chi-Chien Lee, José Pineda de Gyvez:
Color image processing in a cellular neural-network environment. 1086-1098 - Young Moon Park, Myeon-Song Choi, Kwang Y. Lee:
An optimal tracking neuro-controller for nonlinear dynamic systems. 1099-1110 - Mark Rosenblum, Larry S. Davis:
An improved radial basis function network for visual autonomous road following. 1111-1120 - Mark Rosenblum, Yaser Yacoob, Larry S. Davis:
Human expression recognition from motion using a radial basis function network architecture. 1121-1138 - Xinghu Zhang, Chang Chieh Hang, Shaohua Tan, Pei-Zhuang Wang:
The min-max function differentiation and training of fuzzy neural networks. 1139-1150 - Simon G. Fabri, Visakan Kadirkamanathan:
Dynamic structure neural networks for stable adaptive control of nonlinear systems. 1151-1167 - James Tin-Yau Kwok, Dit-Yan Yeung:
Use of bias term in projection pursuit learning improves approximation and convergence properties. 1168-1183 - Ramesh R. Sarukkai:
Supervised self-coding in multilayered feedforward networks. 1184-1195 - Nicolaos B. Karayiannis, Pin-I Pai:
Fuzzy algorithms for learning vector quantization. 1196-1211 - Dominique Coué, George Wilson:
A four-quadrant subthreshold mode multiplier for analog neural-network applications. 1212-1219 - C. L. Philip Chen:
A rapid supervised learning neural network for function interpolation and approximation. 1220-1230 - Yoshua Bengio, Paolo Frasconi:
Input-output HMMs for sequence processing. 1231-1249 - V. Srinivasa Chakravarthy, Joydeep Ghosh:
Scale-based clustering using the radial basis function network. 1250-1261 - Stephen L. Adler, Gyan Bhanot, John D. Weckel:
Algorithmic aspects of a neuron for coherent wave synapse realizations. 1262-1271 - Salvatore Cavalieri, Orazio Mirabella:
Neural networks for process scheduling in real-time communication systems. 1272-1285 - Taek Mu Kwon, Ehsan Habib Feroz:
A multilayered perceptron approach to prediction of the SEC's investigation targets. 1286-1290 - Ze'ew Roth, Yoram Baram:
Multidimensional density shaping by sigmoids. 1291-1298 - Marc M. Van Hulle:
Topographic map formation by maximizing unconditional entropy: a plausible strategy for "online" unsupervised competitive learning and nonparametric density estimation. 1299-1305 - Satish Kumar, Sanjay Saini, Prem Prakash:
Alien attractors and memory annihilation of structured sets in Hopfield networks. 1305-1309 - Ke Chen, Dahong Xie, Huisheng Chi:
A modified HME architecture for text-dependent speaker identification. 1309-1313 - Sei-Wang Chen, George C. Stockman, Kuo-En Chang:
Corrections to "SO Dynamic Deformation for Building of 3-D Models". 1314 - Cheng-Jian Lin, Chin-Teng Lin:
Corrections to "Reinforcement Learning for an ART-Based Fuzzy Adaptive Learning Control Network". 1315 - Mohamad H. Hassoun:
Neural Fuzzy Systems: A Neuro-Fuzzy Synergism to Intelligent Systems [Book review]. 1316 - Mohamad H. Hassoun:
Artificial Neural Networks for Modelling and Control of Nonlinear Systems [Book Reviews]. 1316
Volume 7, Number 6, November 1996
- Tsungnan Lin, Bill G. Horne, Peter Tiño, C. Lee Giles:
Learning long-term dependencies in NARX recurrent neural networks. 1329-1338 - Charles C. Hsu, Desa Gobovic, Mona E. Zaghloul, Harold Szu:
Chaotic neuron models and their VLSI circuit implementations. 1339-1350 - Adrian G. Bors, Ioannis Pitas:
Median radial basis function neural network. 1351-1364 - Anand Rangarajan, Eric Mjolsness:
A Lagrangian relaxation network for graph matching. 1365-1381 - Lipo Wang:
Oscillatory and chaotic dynamics in neural networks under varying operating conditions. 1382-1388 - Sel Brian Colak, Johannes Joseph H. B. Schleipen, Coen Theodorus H. Liedenbaum:
Neural network using longitudinal modes of an injection laser with external feedback. 1389-1400 - Laxmidhar Behera, Madan Gopal, Santanu Chaudhury:
On adaptive trajectory tracking of a robot manipulator using inversion of its neural emulator. 1401-1414 - Simone Santini:
The self-organizing field [Kohonen maps]. 1415-1423 - Kam-Chuen Jim, C. Lee Giles, Bill G. Horne:
An analysis of noise in recurrent neural networks: convergence and generalization. 1424-1438 - Qing Ma:
Adaptive associative memories capable of pattern segmentation. 1439-1449 - Raffaele Parisi, Elio D. Di Claudio, Gianni Orlandi, Bhaskar D. Rao:
A generalized learning paradigm exploiting the structure of feedforward neural networks. 1450-1460 - Michael Heiss, Stefan Kampl:
Multiplication-free radial basis function network. 1461-1464 - DeLiang Wang, Budi Yuwono:
Incremental learning of complex temporal patterns. 1465-1481 - Angelo Frosini, Marco Gori, Paolo Priami:
A neural network-based model for paper currency recognition and verification. 1482-1490 - Stanislaw Jankowski, Andrzej Lozowski, Jacek M. Zurada:
Complex-valued multistate neural associative memory. 1491-1496 - M. Di Martino, Stefano Fanelli, Marco Protasi:
Exploring and comparing the best "direct methods" for the efficient training of MLP-networks. 1497-1502 - Michael Heiss:
Error-minimizing dead zone for basis function networks. 1503-1506 - Stan Z. Li:
Improving convergence and solution quality of Hopfield-type neural networks with augmented Lagrange multipliers. 1507-1516 - LiMin Fu:
Learning capacity and sample complexity on expert networks. 1517-1520 - Paolo Frasconi, Marco Gori:
Computational capabilities of local-feedback recurrent networks acting as finite-state machines. 1521-1525 - Bruce A. Whitehead:
Genetic evolution of radial basis function coverage using orthogonal niches. 1525-1528 - Damitha K. Ranaweera, George G. Karady, Richard G. Farmer:
Effect of probabilistic inputs on neural network-based electric load forecasting. 1528-1532 - Y. J. Cao, Q. H. Wu:
A note on stability of analog neural networks with time delays. 1533-1535 - Pierre Comon, Georges Bienvenu:
Ultimate performance of QEM classifiers. 1535-1537 - Alessandro De Gloria, Mauro Olivieri:
An asynchronous distributed architecture model for the Boltzmann machine control mechanism. 1538-1541 - Kate A. Smith:
An argument for abandoning the travelling salesman problem as a neural-network benchmark. 1542-1544 - Youshen Xia:
A new neural network for solving linear and quadratic programming problems. 1544-1548 - Vir V. Phoha, William J. B. Oldham:
Corrections to "Image Recovery and Segmentation Using Competitive Learning in a Layered Network. 1547 - Robert Hecht-Nielsen:
Self-Organizing Maps [Book Reviews]. 1549 - Mohamad H. Hassoun:
Neural Adaptive Control Technology [Books in Brief]. 1550 - Mohamad H. Hassoun:
Mathematical Perspectives on Neural Networks [Books in Brief]. 1550
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