IEEE Transactions on Neural Networks, Volume 10

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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