Volume 10, Number 1, January 1999

• 
  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
• 
  Sarangapani 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, Thomas H. Vonder Haar, Donald L. Reinke: A study of cloud classification with neural networks using spectral and textural features. 138-151
• 
  Viswanath Ramamurti, Joydeep 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
• 
  Sinan 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

Volume 10, Number 2, March 1999

• 
  Neil W. Townsend, Lionel Tarassenko: Estimations of error bounds for neural-network function approximators. 217-230
• 
  A. Sarajedini, Robert Hecht-Nielsen, Paul 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, Bhaskar 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
• 
  Mietek A. Brdys, Grzegorz 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, Nazif 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

Volume 10, Number 3, May 1999

• 
  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, Masato 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, Thomas H. Vonder Haar, Donald L. Reinke: Errata To "A Study Of Cloud Classification With Neural Networks Using Spectral And Textural Features". 722-722

Volume 10, Number 4, July 1999

• 
  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 F. 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

Volume 10, Number 5, September 1999

• 
  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
• 
  Sheng 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

Volume 10, Number 6, November 1999

• 
  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, Gordon 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 Martínez-Ramón, 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

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