- Erol Gelenbe, Zhi-Hong Mao, Yan-Da Li:
**Function approximation with spiked random networks.**3-9

- Jagesh V. Shah, Chi-Sang Poon:
**Linear independence of internal representations in multilayer perceptrons.**10-18

- Boris Igelnik, Yoh-Han Pao, Steven R. LeClair, Chang-Yun Shen:
**The ensemble approach to neural-network learning and generalization.**19-30

- Sandro Ridella, Stefano Rovetta, Rodolfo Zunino:
**Representation and generalization properties of class-entropy networks.**31-47

- Pinaki Roy Chowdhury, Yashwant Prasad Singh, R. A. Chansarkar:
**Dynamic tunneling technique for efficient training of multilayer perceptrons.**48-55

- M. H. Choueiki, C. A. Mount-Campbell:
**Training data development with the D-optimality criterion.**56-63

- J. P. F. Sum, Chi-Sing Leung, Peter Kwong-Shun Tam, Gilbert H. Young, Wing-Kay Kan, Lai-Wan Chan:
**Analysis for a class of winner-take-all model.**64-71

- A. Le Gall, Vassilis Zissimopoulos:
**Extended Hopfield models for combinatorial optimization.**72-80

- Danchi Jiang, Jun Wang:
**A recurrent neural network for real-time semidefinite programming.**81-93

- Chun-Hsien Chen, Vasant Honavar:
**A neural-network architecture for syntax analysis.**94-114

- D. A. Panagiotopoulos, Robert W. Newcomb, S. K. Singh:
**Planning with a functional neural network architecture.**115-127

- S. Jagannathan:
**Discrete-time CMAC NN control of feedback linearizable nonlinear systems under a persistence of excitation.**128-137

- Bin Tian, Mukhtiar A. Shaikh, Mahmood R. Azimi-Sadjadi, T. H. Vonder Haar, D. L. Reinke:
**A study of cloud classification with neural networks using spectral and textural features.**138-151

- V. Ramamurti, J. Ghosh:
**Structurally adaptive modular networks for nonstationary environments.**152-160

- John Sum, Chi-Sing Leung, Gilbert H. Young, Wing-Kay Kan:
**On the Kalman filtering method in neural network training and pruning.**161-166

- Shyamala C. Sivakumar, William Robertson, William J. Phillips:
**Online stabilization of block-diagonal recurrent neural networks.**167-175

- Harilaos G. Sandalidis, Peter P. Stavroulakis, Joe Rodriguez-Tellez:
**Borrowing channel assignment strategies based on heuristic techniques for cellular systems.**176-181

- Hideki Kakeya, Yoichi Okabe:
**Selective retrieval of memory and concept sequences through neuro-windows.**182-185

- Arthur Filippidis, Lakhmi C. Jain, Peter Lozo:
**Degree of familiarity ART2 in knowledge-based landmine detection.**186-193

- Ponnuthurai N. Suganthan:
**Hierarchical overlapped SOM's for pattern classification.**193-196

- S. Altug, H. Joel Trussell, Mo-Yuen Chow:
**A "mutual update" training algorithm for fuzzy adaptive logic control/decision network (FALCON).**196-199

- Roberto Tagliaferri, Nicola Capuano, G. Gargiulo:
**Automated labeling for unsupervised neural networks: a hierarchical approach.**199-203

- Marc M. Van Hulle:
**Density-based clustering with topographic maps.**204-207

- A. Taleb, Giansalvo Cirrincione:
**Against the convergence of the minor component analysis neurons.**207-210

- Neil W. Townsend, Lionel Tarassenko:
**Estimations of error bounds for neural-network function approximators.**217-230

- A. Sarajedini, Robert Hecht-Nielsen, P. M. Chau:
**Conditional probability density function estimation with sigmoidal neural networks.**231-238

- Kim W. C. Ku, Man-Wai Mak, Wan-Chi Siu:
**Adding learning to cellular genetic algorithms for training recurrent neural networks.**239-252

- Paolo Campolucci, Aurelio Uncini, Francesco Piazza, B. D. Rao:
**On-line learning algorithms for locally recurrent neural networks.**253-271

- A. Steven Younger, Peter R. Conwell, Neil E. Cotter:
**Fixed-weight on-line learning.**272-283

- Peter Tino, Miroslav Koteles:
**Extracting finite-state representations from recurrent neural networks trained on chaotic symbolic sequences.**284-302

- Y. Z. Tsypkin, J. D. Mason, E. D. Avedyan, K. Warwick, I. K. Levin:
**Neural networks for identification of nonlinear systems under random piecewise polynomial disturbances.**303-312

- Jie Zhang, A. J. Morris:
**Recurrent neuro-fuzzy networks for nonlinear process modeling.**313-326

- M. Iatrou, Theodore W. Berger, Vasilis Z. Marmarelis:
**Modeling of nonlinear nonstationary dynamic systems with a novel class of artificial neural networks.**327-339

- M. A. Brdys, G. J. Kulawski:
**Dynamic neural controllers for induction motor.**340-355

- Narayan Srinivasa, Narendra Ahuja:
**A topological and temporal correlator network for spatiotemporal pattern learning, recognition, and recall.**356-371

- Frank M. Candocia, José Carlos Príncipe:
**Super-resolution of images based on local correlations.**372-380

- T. Sigitani, Youji Iiguni, Hajime Maeda:
**Image interpolation for progressive transmission by using radial basis function networks.**381-390

- Martin Bouchard, B. Paillard, Chon Tan Le Dinh:
**Improved training of neural networks for the nonlinear active control of sound and vibration.**391-401

- Amir F. Atiya, S. M. El-Shoura, Samir I. Shaheen, M. S. El-Sherif:
**A comparison between neural-network forecasting techniques-case study: river flow forecasting.**402-409

- Mikko Lehtokangas:
**Fast initialization for cascade-correlation learning.**410-414

- Davide Anguita, Sandro Ridella, Stefano Rovetta:
**Worst case analysis of weight inaccuracy effects in multilayer perceptrons.**415-418

- Mehmed M. Kantardzic, A. A. Aly, Adel Said Elmaghraby:
**Visualization of neural-network gaps based on error analysis.**419-426

- M. S. Iyer, R. R. Rhinehart:
**A method to determine the required number of neural-network training repetitions.**427-432

- Stefan C. Kremer:
**Identification of a specific limitation on local-feedback recurrent networks acting as Mealy-Moore machines.**433-438

- Stan Z. Li, Juwei Lu:
**Face recognition using the nearest feature line method.**439-443

- Ponnuthurai N. Suganthan, Eam Khwang Teoh, Dinesh P. Mital:
**Hopfield network with constraint parameter adaptation for overlapped shape recognition.**444-449

- Jungsik Lee, C. Beach, N. Tepedelenlioglu:
**A practical radial basis function equalizer.**450-455

- M. P. Walsh, M. E. Flynn, M. J. O'Malley:
**Augmented Hopfield network for mixed-integer programming.**456-458

- M. H. Hassoun:
**Books in Brief.**459-459

- J. L. Johnson, M. L. Padgett, O. Omidvar:
**Guest Editorial Overview Of Pulse Coupled Neural Network (PCNN) Special Issue.**461-463

- Reinhard Eckhorn:
**Neural mechanisms of scene segmentation: recordings from the visual cortex suggest basic circuits for linking field models.**464-479

- J. L. Johnson, M. L. Padgett:
**PCNN models and applications.**480-498

- Eugene M. Izhikevich:
**Class 1 neural excitability, conventional synapses, weakly connected networks, and mathematical foundations of pulse-coupled models.**499-507

- Eugene M. Izhikevich:
**Weakly pulse-coupled oscillators, FM interactions, synchronization, and oscillatory associative memory.**508-526

- Gerald Frank, Georg Hartmann, Axel Jahnke, Martin Schäfer:
**An accelerator for neural networks with pulse-coded model neurons.**527-538

- Yasuhiro Ota, Bogdan M. Wilamowski:
**Analog implementation of pulse-coupled neural networks.**539-544

- H. Hikawa:
**Frequency-based multilayer neural network with on-chip learning and enhanced neuron characteristics.**545-553

- Randy P. Broussard, Steven K. Rogers, Mark E. Oxley, Gregory L. Tarr:
**Physiologically motivated image fusion for object detection using a pulse coupled neural network.**554-563

- Xiuwen Liu, DeLiang L. Wang:
**Range image segmentation using a relaxation oscillator network.**564-573

- Michael J. Wilcox, Donald C. Thelen Jr.:
**A retina with parallel input and pulsed output, extracting high-resolution information.**574-583

- Jason M. Kinser, Thomas Lindblad:
**Implementation of pulse-coupled neural networks in a CNAPS environment.**584-590

- G. Kuntimad, Heggere S. Ranganath:
**Perfect image segmentation using pulse coupled neural networks.**591-598

- Natalie Clark, Michele Banish, Heggere S. Ranganath:
**Smart adaptive optic systems using spatial light modulators.**599-603

- H. John Caulfield, Jason M. Kinser:
**Finding the shortest path in the shortest time using PCNN's.**604-606

- Thomas Lindblad, Jason M. Kinser:
**Inherent features of wavelets and pulse coupled networks.**607-614

- Heggere S. Ranganath, G. Kuntimad:
**Object detection using pulse coupled neural networks.**615-620

- Jason M. Kinser:
**Foveation by a pulse-coupled neural network.**621-625

- Aapo Hyvärinen:
**Fast and robust fixed-point algorithms for independent component analysis.**626-634

- Francesco Palmieri, Claudia Catello, Gennaro D'Orio:
**Inhibitory synapses in neural networks with sigmoidal nonlinearities.**635-644

- Jesús Cid-Sueiro, Juan Ignacio Arribas, Sebastian Urban-Munoz, Aníbal R. Figueiras-Vidal:
**Cost functions to estimate a posteriori probabilities in multiclass problems.**645-656

- Nicolaos B. Karayiannis:
**Reformulated radial basis neural networks trained by gradient descent.**657-671

- S. Guarnieri, Francesco Piazza, Aurelio Uncini:
**Multilayer feedforward networks with adaptive spline activation function.**672-683

- DeLiang L. Wang, Guy J. Brown:
**Separation of speech from interfering sounds based on oscillatory correlation.**684-697

- S. Bharitkar, Kazuhiro Tsuchiya, Yoshiyasu Takefuji:
**Microcode optimization with neural networks.**698-703

- Masaki Kawamura, M. Okada, Yuzo Hirai:
**Dynamics of selective recall in an associative memory model with one-to-many associations.**704-713

- Richard B. McLain, Michael A. Henson, Martin Pottmann:
**Direct adaptive control of partially known nonlinear systems.**714-721

- Bin Tian, Mukhtiar A. Shaikh, Mahmood R. Azimi-Sadjadi, T. H. Vonder Haar, D. L. Reinke:
**Errata To "A Study Of Cloud Classification With Neural Networks Using Spectral And Textural Features".**722-722

- C. Citterio, Andrea Pelagotti, Vincenzo Piuri, L. Rocca:
**Function approximation-fast-convergence neural approach based on spectral analysis.**725-740

- Miroslaw Galicki, Lutz Leistritz, Herbert Witte:
**Learning continuous trajectories in recurrent neural networks with time-dependent weights.**741-756

- Pierre Lavoie, Jean-Francois Crespo, Yvon Savaria:
**Generalization, discrimination, and multiple categorization using adaptive resonance theory.**757-767

- Issam Dagher, Michael Georgiopoulos, Gregory L. Heileman, George Bebis:
**An ordering algorithm for pattern presentation in fuzzy ARTMAP that tends to improve generalization performance.**768-778

- Richard J. Duro, José Santos Reyes:
**Discrete-time backpropagation for training synaptic delay-based artificial neural networks.**779-789

- Michael G. Lysenko, Hing-Ip Wong, G. Ivan Maldonado:
**Predicting neutron diffusion eigenvalues with a query-based adaptive neural architecture.**790-800

- Leonardo Maria Reyneri:
**Unification of neural and wavelet networks and fuzzy systems.**801-814

- Maurício Figueiredo, Fernando A. C. Gomide:
**Design of fuzzy systems using neurofuzzy networks.**815-827

- Chia-Feng Juang, Chin-Teng Lin:
**A recurrent self-organizing neural fuzzy inference network.**828-845

- Chin-Teng Lin, Chong-Ping Jou:
**Controlling chaos by GA-based reinforcement learning neural network.**846-859

- Haijian Sun, Lin Liu, Aike Guo:
**A neurocomputational model of figure-ground discrimination and target tracking.**860-884

- Jens Kalkkuhl, Kenneth J. Hunt, H. Fritz:
**FEM-based neural-network approach to nonlinear modeling with application to longitudinal vehicle dynamics control.**885-897

- Miguel Angel Mayosky, Gustavo I. E. Cancelo:
**Direct adaptive control of wind energy conversion systems using Gaussian networks.**898-906

- Johan A. K. Suykens, Joos Vandewalle:
**Training multilayer perceptron classifiers based on a modified support vector method.**907-911

- Jie Luo, Bo Hu, Xie-Ting Ling, Ruey-Wen Liu:
**Principal independent component analysis.**912-917

- Yong Fang, Tommy W. S. Chow:
**Blind equalization of a noisy channel by linear neural network.**918-924

- Ling Zhang, Bo Zhang:
**A geometrical representation of McCulloch-Pitts neural model and its applications.**925-929

- Youmin Zhang, X. Rong Li:
**A fast U-D factorization-based learning algorithm with applications to nonlinear system modeling and identification.**930-938

- Bailing Zhang, Minyue Fu, Hong Yan, Marwan A. Jabri:
**Handwritten digit recognition by adaptive-subspace self-organizing map (ASSOM).**939-945

- Jooyoung Park, Hyuk Cho, Daihee Park:
**Design of GBSB neural associative memories using semidefinite programming.**946-950

- Ian Phillip Morns, Satnam Singh Dlay:
**Analog design of a new neural network for optical character recognition.**951-953

- Dorel M. Sala, Krzysztof J. Cios:
**Solving graph algorithms with networks of spiking neurons.**953-957

- Q. Gan, Paramasivan Saratchandran, Narasimhan Sundararajan, Krishnappa R. Subramanian:
**A complex valued radial basis function network for equalization of fast time varying channels.**958-960

- Sang-Hoon Oh, Soo-Young Lee:
**A new error function at hidden layers for past training of multilayer perceptrons.**960-964

- P. V. S. Ponnapalli, K. C. Ho, M. Thomson:
**A formal selection and pruning algorithm for feedforward artificial neural network optimization.**964-968

- Ida G. Sprinkhuizen-Kuyper, Egbert J. W. Boers:
**A local minimum for the 2-3-1 XOR network.**968-971

- Sandro Ridella, Stefano Rovetta, Rodolfo Zunino:
**Circular backpropagation networks embed vector quantization.**972-975

- Dong-Liang Lee:
**New stability conditions for Hopfield networks in partial simultaneous update mode.**975-978

- Terence Kwok, Kate A. Smith:
**A unified framework for chaotic neural-network approaches to combinatorial optimization.**978-981

- Enrique Castillo, Angel Cobo, José Manuel Gutiérrez, Rosa Eva Pruneda:
**Functional networks with applications: a neural-based paradigm [Book Review].**982-982

- Te-Won Lee:
**Independent component analysis: theory and applications [Book Review].**982-982

- Vladimir Vapnik:
**An overview of statistical learning theory.**988-999

- Bernhard Schölkopf, Sebastian Mika, Christopher J. C. Burges, Phil Knirsch, Klaus-Robert Müller, Gunnar Rätsch, Alexander J. Smola:
**Input space versus feature space in kernel-based methods.**1000-1017

- James Tin-Yau Kwok:
**Moderating the outputs of support vector machine classifiers.**1018-1031

- Olvi L. Mangasarian, David R. Musicant:
**Successive overrelaxation for support vector machines.**1032-1037

- Davide Mattera, Francesco Palmieri, Simon Haykin:
**Simple and robust methods for support vector expansions.**1038-1047

- Harris Drucker, Donghui Wu, Vladimir Vapnik:
**Support vector machines for spam categorization.**1048-1054

- Olivier Chapelle, Patrick Haffner, Vladimir Vapnik:
**Support vector machines for histogram-based image classification.**1055-1064

- S. Ben-Yacoub, Yousri Abdeljaoued, E. Mayoraz:
**Fusion of face and speech data for person identity verification.**1065-1074

- Vladimir Cherkassky, Xuhui Shao, Filip Mulier, Vladimir Vapnik:
**Model complexity control for regression using VC generalization bounds.**1075-1089

- M. A. L. Thathachar, M. T. Arvind:
**Global Boltzmann perceptron network for online learning of conditional distributions.**1090-1098

- Bruno Apolloni, Italo Zoppis:
**Sub-symbolically managing pieces of symbolical functions for sorting.**1099-1122

- Jun Wang, Qingni Hu, Danchi Jiang:
**A Lagrangian network for kinematic control of redundant robot manipulators.**1123-1132

- Qing Song, Jizhong Xiao, Yeng Chai Soh:
**Robust backpropagation training algorithm for multilayered neural tracking controller.**1133-1141

- Ludmila I. Kuncheva, James C. Bezdek:
**Presupervised and post-supervised prototype classifier design.**1142-1152

- Nicolaos B. Karayiannis:
**An axiomatic approach to soft learning vector quantization and clustering.**1153-1165

- Y. Benbenisti, D. Kornreich, H. B. Mitchell, P. A. Schaefer:
**Fixed bit-rate image compression using a parallel-structure multilayer neural network.**1166-1172

- J. Basak, S. Amari:
**Blind separation of uniformly distributed signals: a general approach.**1173-1185

- Konstantinos I. Diamantaras, Kurt Hornik, Michael G. Strintzis:
**Optimal linear compression under unreliable representation and robust PCA neural models.**1186-1195

- A. A. Ding:
**Neural-network prediction with noisy predictors.**1196-1203

- Volker Tresp, Thomas Briegel, J. Moody:
**Neural-network models for the blood glucose metabolism of a diabetic.**1204-1213

- Raj K. Aggarwal, Q. Y. Xuan, Allan T. Johns, Furong Li, Alan Bennett:
**A novel approach to fault diagnosis in multicircuit transmission lines using fuzzy ARTmap neural networks.**1214-1221

- T. Asai, M. Ohtani, H. Yonezu:
**Analog integrated circuits for the Lotka-Volterra competitive neural networks.**1222-1231

- Jonghan Shin, Christof Koch:
**Dynamic range and sensitivity adaptation in a silicon spiking neuron.**1232-1238

- S. Chen, Y. Wu, B. L. Luk:
**Combined genetic algorithm optimization and regularized orthogonal least squares learning for radial basis function networks.**1239-1243

- Bao-Liang Lu, Masami Ito:
**Task decomposition and module combination based on class relations: a modular neural network for pattern classification.**1244-1256

- Baoyun Wang, Jingnan Nie, Zhenya He:
**A transiently chaotic neural-network implementation of the CDMA multiuser detector.**1257-1259

- W. A. Wright:
**Bayesian approach to neural-network modeling with input uncertainty.**1261-1270

- Bao-Liang Lu, H. Kita, Y. Nishikawa:
**Inverting feedforward neural networks using linear and nonlinear programming.**1271-1290

- David P. Helmbold, Jyrki Kivinen, Manfred K. Warmuth:
**Relative loss bounds for single neurons.**1291-1304

- Marco Gori, Andreas Küchler, Alessandro Sperduti:
**On the implementation of frontier-to-root tree automata in recursive neural networks.**1305-1314

- Eric Bax:
**Partition-based and sharp uniform error bounds.**1315-1320

- Liang Jin, Madan M. Gupta:
**Stable dynamic backpropagation learning in recurrent neural networks.**1321-1334

- Nick K. Treadgold, Tamás D. Gedeon:
**Exploring constructive cascade networks.**1335-1350

- Koichiro Yamauchi, Nobuhiko Yamaguchi, Naohiro Ishii:
**Incremental learning methods with retrieving of interfered patterns.**1351-1365

- Jyh-Ching Juang:
**Stability analysis of Hopfield-type neural networks.**1366-1374

- Khashayar Pakdaman, C. P. Malta, C. Grotta-Ragazzo:
**Asymptotic behavior of irreducible excitatory networks of analog graded-response neurons.**1375-1381

- Kumar Chellapilla, David B. Fogel:
**Evolving neural networks to play checkers without relying on expert knowledge.**1382-1391

- Gregor P. J. Schmitz, Chris Aldrich, F. S. Gouws:
**ANN-DT: an algorithm for extraction of decision trees from artificial neural networks.**1392-1401

- Alexander S. Poznyak, Wen Yu, Edgar N. Sanchez, J. P. Perez:
**Nonlinear adaptive trajectory tracking using dynamic neural networks.**1402-1411

- Yun-Chung Chu, Jie Huang:
**A neural-network method for the nonlinear servomechanism problem.**1412-1423

- D. J. H. Wilson, George W. Irwin, G. Lightbody:
**RBF principal manifolds for process monitoring.**1424-1434

- Danilo P. Mandic, Jonathon A. Chambers:
**Toward an optimal PRNN-based nonlinear predictor.**1435-1442

- Junhong Nie, Simon Haykin:
**A dynamic channel assignment policy through Q-learning.**1443-1455

- Peter J. Edwards, Alan F. Murray, Georgios Papadopoulos, A. Robin Wallace, John Barnard, Gordon Smith:
**The application of neural networks to the papermaking industry.**1456-1464

- Ian Phillip Morns, Satnam Singh Dlay:
**The DSFPN, a new neural network for optical character recognition.**1465-1473

- Abdelouahid Lyhyaoui, Manel Martinez, Inma Mora, Maryan Vaquez, José-Luis Sancho, Aníbal R. Figueiras-Vidal:
**Sample selection via clustering to construct support vector-like classifiers.**1474-1481

- Chi-Sing Leung, Gilbert H. Young, John Sum, Wing-Kay Kan:
**On the regularization of forgetting recursive least square.**1482-1486

- Zhang Yi, Pheng-Ann Heng, Ada Wai-Chee Fu:
**Estimate of exponential convergence rate and exponential stability for neural networks.**1487-1493

- Deepak Shukla, Darren M. Dawson, Frank W. Paul:
**Multiple neural-network-based adaptive controller using orthonormal activation function neural networks.**1494-1501

- Filipe Aires, Michel Schmitt, Alain Chedin, Noelle Scott:
**The "weight smoothing" regularization of MLP for Jacobian stabilization.**1502-1510

- Chuan Wang, Jose C. Principe:
**Training neural networks with additive noise in the desired signal.**1511-1517

- I. G. Ali, Yu-To Chen:
**Design quality and robustness with neural networks.**1518-1527

- Luiz Pessoa, Ana Paula Leitão:
**Complex cell prototype representation for face recognition.**1528-1531

- Christian Wöhler, Joachim K. Anlauf:
**An adaptable time-delay neural-network algorithm for image sequence analysis.**1531-1536

- Siu-Yeung Cho, Tommy W. S. Chow:
**Shape recovery from shading by a new neural-based reflectance model.**1536-1541

- Sang-Hoon Oh, Soo-Young Lee:
**Corrections to "a new error function at hidden layers for fast training of multilayer perceptrons".**1541-1541