Neural Networks, Volume 6

Volume 6, Number 1, 1993

Editorial

• 
  Stephen Grossberg, John G. Taylor:
  The fifth anniversary of neural networks. 1

Letters to the Editor

• 
  Kurt Hornik, Maxwell B. Stinchcombe, Halbert White:
  Letters to the editor. 3
• 
  Vladik Kreinovich:
  Letters to the editor. 3-4
• 
  Terry Bossomaier, Natalina Isidoro, Adrian Loeff:
  Errors from grid approximation of IFS codes. 5-6

Original Contributions

• 
  Marc M. Van Hulle, Tom Tollenaere:
  A modular artificial neural network for texture processing. 7-32
• 
  Kunihiko Fukushima, Taro Imagawa:
  Recognition and segmentation of connected characters with selective attention. 33-41
• 
  Stephen Grossberg, Frank H. Guenther, Daniel Bullock, Douglas N. Greve:
  Neural representations for sensory-motor control, II: Learning a head-centered visuomotor representation of 3-D target position. 43-67
• 
  Jeffrey Hoffman, Josef Skrzypek, Jacques J. Vidal:
  Cluster network for recognition of handwritten, cursive script characters. 69-78
• 
  Andrew H. Gee, Sreeram V. B. Aiyer, Richard W. Prager:
  An analytical framework for optimizing neural networks. 79-97
• 
  Sam-Kit Sin, Rui J. P. de Figueiredo:
  Efficient learning procedures for optimal interpolative nets. 99-113
• 
  Masahiko Morita:
  Associative memory with nonmonotone dynamics. 115-126
• 
  Friedrich Biegler-König, Frank Bärmann:
  A learning algorithm for multilayered neural networks based on linear least squares problems. 127-131
• 
  Kevin N. Gurney:
  Training nets of stochastic units using system identification. 133-145

Current Events

• 
  Conferences on neural networks and related topics. 151-159

Volume 6, Number 2, 1993

• 
  Shun-ichi Amari:
  A universal theorem on learning curves. 161-166
• 
  Shuji Yoshizawa, Masahiko Morita, Shun-ichi Amari:
  Capacity of associative memory using a nonmonotonic neuron model. 167-176
• 
  Rüdiger W. Brause:
  The error-bounded descriptional complexity of approximation networks. 177-187
• 
  John J. Shynk, Neil J. Bershad:
  Stationary points of a single-layer perceptron for nonseparable data models. 189-202
• 
  Kevin T. Judd, Kazuyuki Aihara:
  Pulse propagation networks: A neural network model that uses temporal coding by action potentials. 203-215
• 
  Koji Nakajima, Yoshihiro Hayakawa:
  Correct reaction neural network. 217-222
• 
  Albert Y. Zomaya, Tarek M. Nabhan:
  Centralized and decentralized neuro-adaptive robot controllers. 223-244
• 
  Haluk Ögmen:
  A neural theory of retino-cortical dynamics. 245-273
• 
  Michael Sabourin, Amar Mitiche:
  Modeling and classification of shape using a Kohonen associative memory with selective multiresolution. 275-283
• 
  Christopher Ting, Keng-Chee Chuang:
  An adaptive algorithm for neocognitron to recognize analog images. 285-299

Volume 6, Number 3, 1993

• 
  Mats Bengtsson:
  A neural system as a dynamical model for early vision. 313-325
• 
  Haruo Kobayashi, Takashi Matsumoto, Tetsuya Yagi, Takuji Shimmi:
  Image processing regularization filters on layered architecture. 327-350
• 
  Thierry Denoeux, Régis Lengellé:
  Initializing back propagation networks with prototypes. 351-363
• 
  Alessandro Sperduti, Antonina Starita:
  Speed up learning and network optimization with extended back propagation. 365-383
• 
  Charles W. Lee:
  Learning in neural networks by using tangent planes to constraint surfaces. 385-392
• 
  Lars Kai Hansen:
  Stochastic linear learning: Exact test and training error averages. 393-396
• 
  Mohamad T. Musavi, K. Kalantri, Wahid Ahmed, Khue Hiang Chan:
  A minimum error neural network (MNN). 397-407
• 
  Jörgen M. Karlholm:
  Associative memories with short-range, higher order couplings. 409-421
• 
  John G. Taylor, Stephen Coombes:
  Learning higher order correlations. 423-427
• 
  Martin Brown, Chris J. Harris, Patrick C. Parks:
  The interpolation capabilities of the binary CMAC. 429-440
• 
  Geoffrey J. Chappell, John G. Taylor:
  The temporal Kohönen map. 441-445

Volume 6, Number 4, 1993

• 
  Stephen Grossberg:
  A solution of the figure-ground problem for biological vision. 463-483

Original Contribution

• 
  Hiroaki Gomi, Mitsuo Kawato:
  Recognition of manipulated objects by motor learning with modular architecture networks. 485-497
• 
  Gyöngyi Gaál:
  Population coding by simultaneous activities of neurons in intrinsic coordinate systems defined by their receptive field weighting functions. 499-515
• 
  Wolfram Schiffmann, H. Willi Geffers:
  Adaptive control of dynamic systems by back propagation networks. 517-524
• 
  Martin Fodslette Møller:
  A scaled conjugate gradient algorithm for fast supervised learning. 525-533
• 
  Asim Roy, Lark Sang Kim, Somnath Mukhopadhyay:
  A polynomial time algorithm for the construction and training of a class of multilayer perceptrons. 535-545
• 
  Ulrich Ramacher:
  Hamiltonian dynamics of neural networks. 547-557
• 
  Giancarlo Parodi, Sandro Ridella, Rodolfo Zunino:
  Using chaos to generate keys for associative noise-like coding memories. 559-572
• 
  Gregory Allen Kohring:
  On the Q-state neuron problem in attractor neural networks. 573-581
• 
  Stevan V. Odri, Dusan P. Petrovacki, Gordana A. Krstonosic:
  Evolutional development of a multilevel neural network. 583-595
• 
  Conferences on neural networks and related topics. 597-606

Volume 6, Number 5, 1993

Letters to the editor

• 
  Dale A. Brown:
  Letters to the editor. 607-608
• 
  Alexander Korn:
  Letters to the editor. 608
• 
  David G. Stork:
  Letter to the editor. 609
• 
  Nico Weymaere:
  Letter to the editor. 611
• 
  Arjen van Ooyen, Bernard Nienhuis:
  Response to letter by N. Weymaere. 611-612

Original Contributions

• 
  Terry M. Caelli, David McG. Squire, Tom P. J. Wild:
  Model-based neural networks. 613-625
• 
  Lei Xu:
  Least mean square error reconstruction principle for self-organizing neural-nets. 627-648
• 
  Pascal Koiran:
  On the complexity of approximating mappings using feedforward networks. 649-653
• 
  Michel Benaïm:
  The "off line learning approximation" in continuous time neural networks: An adiabatic theorem. 655-665
• 
  Frank E. McFadden, Yun Peng, James A. Reggia:
  Local conditions for phase transitions in neural networks with variable connection strengths. 667-676
• 
  Theodore A. Burton:
  Averaged neural networks. 677-680
• 
  Harald Englisch, Yegao Xiao, Kailun Yao:
  Strongly diluted networks with selfinteraction. 681-688
• 
  Haruhisa Takahashi, Etsuji Tomita, Tsutomu Kawabata:
  Separability of internal representations in multilayer perceptrons with application to learning. 689-703
• 
  J. M. Minor:
  Parity with two layer feedforward nets. 705-707
• 
  Katsunori Shimohara, Tadasu Uchiyama, Yukio Tokunaga:
  Subconnection neural network for event-driven temporal sequence processing. 709-718
• 
  Youngjik Lee, Sang-Hoon Oh, Myung Won Kim:
  An analysis of premature saturation in back propagation learning. 719-728
• 
  Shigeo Abe, Masahiro Kayama, Hiroshi Takenaga, Tadaaki Kitamura:
  Extracting algorithms from pattern classification neural networks. 729-735

Current Events

• 
  Conferences on neural networks and related topics. 741-752

Volume 6, Number 6, 1993

Original Contribution

• 
  Brendan L. Rogers:
  New conditioned stimulus trace circuit for the rabbit's nictitating membrane response. 753-769
• 
  William Finnoff, Ferdinand Hergert, Hans-Georg Zimmermann:
  Improving model selection by nonconvergent methods. 771-783
• 
  Hubertus M. A. Andree, Gerard T. Barkema, Wim Lourens, Arie Taal, Jos C. Vermeulen:
  A comparison study of binary feedforward neural networks and digital circuits. 785-790
• 
  Faouzi Bouslama, Akira Ichikawa:
  Application of neural networks to fuzzy control. 791-799
• 
  Ken-ichi Funahashi, Yuichi Nakamura:
  Approximation of dynamical systems by continuous time recurrent neural networks. 801-806
• 
  Thierry Catfolis:
  A method for improving the real-time recurrent learning algorithm. 807-821
• 
  Mark D. Plumbley:
  Efficient information transfer and anti-Hebbian neural networks. 823-833
• 
  Pierre Courrieu:
  A convergent generator of neural networks. 835-844
• 
  Ali A. Minai, Ronald D. Williams:
  On the derivatives of the sigmoid. 845-853
• 
  Masahiko Arai:
  Bounds on the number of hidden units in binary-valued three-layer neural networks. 855-860
• 
  Moshe Leshno, Vladimir Ya. Lin, Allan Pinkus, Shimon Schocken:
  Multilayer feedforward networks with a nonpolynomial activation function can approximate any function. 861-867
• 
  Shashank K. Mehta, Laszlo Fulop:
  An analog neural network to solve the hamiltonian cycle problem. 869-881

Current Events

• 
  Conferences on neural networks and related topics. 883-893

Volume 6, Number 7, 1993

Original contribution

• 
  Teuvo Kohonen:
  Physiological interpretation of the Self-Organizing Map algorithm. 895-905
• 
  Malcolm R. J. McQuoid:
  Neural ensembles: Simultaneous recognition of multiple 2-D visual objects. 907-917
• 
  Yasuhiro Wada, Mitsuo Kawato:
  A neural network model for arm trajectory formation using forward and inverse dynamics models. 919-932
• 
  Hiroaki Gomi, Mitsuo Kawato:
  Neural network control for a closed-loop System using Feedback-error-learning. 933-946
• 
  Bruce P. Graham, Stephen J. Redman:
  Dynamic behaviour of a model of the muscle stretch reflex. 947-962
• 
  Shigetoshi Nara, Peter Davis, Hiroo Totsuji:
  Memory search using complex dynamics in a recurrent neural network model. 963-973
• 
  Francesca Albertini, Eduardo D. Sontag:
  For neural networks, function determines form. 975-990
• 
  Abhay B. Bulsari:
  Some analytical solutions to the general approximation problem for feedforward neural networks. 991-996
• 
  Nicholas J. Redding, Adam Kowalczyk, Tom Downs:
  Constructive higher-order network that is polynomial time. 997-1010
• 
  Margit Kinder, Wilfried Brauer:
  Classification of trajectories - Extracting invariants with a neural network. 1011-1017
• 
  Jan Mielniczuk, Joanna Tyrcha:
  Consistency of multilayer perceptron regression estimators. 1019-1022
• 
  Enrico A. Carrara, Franco Pagliari, Claudio Nicolini:
  Neural networks for the peak-picking of nuclear magnetic resonance spectra. 1023-1032

Letters to the editor

• 
  Donald F. Specht:
  The general regression neural network - Rediscovered. 1033-1034
• 
  Henrik Schiøler:
  Response to letter by D. F. Specht. 1034

Volume 6, Number 8, 1993

Invited review

• 
  Menashe Dornay, Ferdinando A. Mussa-Ivaldi, Joseph McIntyre, Emilio Bizzi:
  Stability constraints for the distributed control of motor behavior. 1045-1059

Original contribution

• 
  Hidetoshi Nishimori, Ioan Opris:
  Retrieval process of an associative memory with a general input-output function. 1061-1067
• 
  Kurt Hornik:
  Some new results on neural network approximation. 1069-1072
• 
  Jun Wang, Behnam Malakooti:
  Characterization of training errors in supervised learning using gradient-based rules. 1073-1087
• 
  David A. Sprecher:
  A universal mapping for kolmogorov's superposition theorem. 1089-1094
• 
  Tadashi Masuda:
  Model of competitive learning based upon a generalized energy function. 1095-1103
• 
  Steve G. Romaniuk, Lawrence O. Hall:
  Divide and Conquer Neural Networks. 1105-1116
• 
  Brian A. Telfer, David P. Casasent:
  Minimum-cost associative processor for piecewise-hyperspherical classification. 1117-1130
• 
  Xinhua Zhuang, Yan Huang, Su-Shing Chen:
  Better learning for bidirectional associative memory. 1131-1146
• 
  Dietmar Ruwisch, Mathias Bode, Hans-Georg Purwins:
  Parallel hardware implementation of Kohonen's algorithm with an active medium. 1147-1157
• 
  Nikola Samardzija:
  Applications of information storage matrix neural networks. 1159-1167
• 
  Yeou-Fang Wang, Jose B. Cruz Jr., James H. Mulligan Jr.:
  Multiple training concept for back-propagation neural networks for use in associative memories. 1169-1175