Neural Networks, Volume 4

Volume 4, Number 1, 1991

• Stephen Grossberg:
  The third anniversary of Neural Networks. 1-
  
• Ilya A. Rybak, Natalia Shevtsova, Lubov N. Podladchikova, Alexander V. Golovan:
  A visual cortex domain model and its use for visual information processing. 3-13
  
• Frédéric Alexandre, Frédéric Guyot, Jean Paul Haton, Yves Burnod:
  The cortical column: A new processing unit for multilayered networks. 15-25
  
• Vladimir Cherkassky, Hossein Lari-Najafi:
  Constrained topological mapping for nonparametric regression analysis. 27-40
  
• Hal L. Smith:
  Convergent and oscillatory activation dynamics for cascades of neural nets with nearest neighbor competitive or cooperative interactions. 41-46
  
• John L. Johnson:
  Globally stable saturable learning laws. 47-51
  
• John W. L. Merrill, Robert F. Port:
  Fractally configured neural networks. 53-60
  
• Yoshio Hirose, Koichi Yamashita, Shimpei Hijiya:
  Back-propagation algorithm which varies the number of hidden units. 61-66
  
• Jocelyn Sietsma, Robert J. F. Dow:
  Creating artificial neural networks that generalize. 67-79
  
• Akio Utsugi, Masatoshi Ishikawa:
  Construction of inner space representation of latticed network circuits by learning. 81-87
  
• Leonid I. Perlovsky, Margaret M. McManus:
  Maximum likelihood neural networks for sensor fusion and adaptive classification. 89-102
  
• Yong Yao, Walter J. Freeman, Brian C. Burke, Qing Yang:
  Pattern recognition by a distributed neural network: An industrial application. 103-121
  

Volume 4, Number 2, 1991

• Michael Kuperstein:
  INFANT neural controller for adaptive sensory-motor coordination. 131-145
  
• Paolo Gaudiano, Stephen Grossberg:
  Vector associative maps: Unsupervised real-time error-based learning and control of movement trajectories. 147-183
  
• Esther Levin, Raanan Gewirtzman, Gideon F. Inbar:
  Neural network architecture for adaptive system modeling and control. 185-191
  
• X. Xu, W. T. Tsai:
  Effective neural algorithms for the traveling salesman problem. 193-205
  
• Sukhan Lee, Rhee Man Kil:
  A Gaussian potential function network with hierarchically self-organizing learning. 207-224
  
• A. K. Rigler, J. M. Irvine, Thomas P. Vogl:
  Rescaling of variables in back propagation learning. 225-229
  
• Patrick A. Shoemaker, Michael J. Carlin, Randy L. Shimabukuro:
  Back propagation learning with trinary quantization of weight updates. 231-241
  
• Eduardo D. Sontag, Héctor J. Sussmann:
  Back propagation separates where perceptrons do. 243-249
  
• Kurt Hornik:
  Approximation capabilities of multilayer feedforward networks. 251-257
  

Volume 4, Number 3, 1991

• Aijaz A. Baloch, Allen M. Waxman:
  Visual learning, adaptive expectations, and behavioral conditioning of the mobile robot MAVIN. 271-302
  
• Nicholas G. Hatsopoulos, William H. Warren Jr.:
  Visual navigation with a neural network. 303-317
  
• Sanjay S. Kumar, Allon Guez:
  ART based adaptive pole placement for neurocontrollers. 319-335
  
• William R. Softky, Daniel M. Kammen:
  Correlations in high dimensional or asymmetric data sets: Hebbian neuronal processing. 337-347
  
• Patrick Gallinari, Sylvie Thiria, Fouad Badran, Françoise Fogelman-Soulié:
  On the relations between discriminant analysis and multilayer perceptrons. 349-360
  
• Nico Weymaere, Jean-Pierre Martens:
  A fast and robust learning algorithm for feedforward neural networks. 361-369
  
• Michael K. Weir:
  A method for self-determination of adaptive learning rates in back propagation. 371-379
  
• Vladik Kreinovich:
  Arbitrary nonlinearity is sufficient to represent all functions by neural networks: A theorem. 381-383
  
• Yoshifusa Ito:
  Representation of functions by superpositions of a step or sigmoid function and their applications to neural network theory. 385-394
  
• Dov Ingman, Yoram Merlis:
  Local minimum escape using thermodynamic properties of neural networks. 395-404
  
• Wolfgang Balzer, Masanobu Takahashi, Jun Ohta, Kazuo Kyuma:
  Weight quantization in Boltzmann machines. 405-409
  
• Robert M. Burton, William G. Faris:
  Reliable evaluation of neural networks. 411-415
  
• Edward A. Manykin, M. N. Belov:
  Higher-order neural networks and photon-echo effect. 417-420
  

Volume 4, Number 4, 1991

• Silvio P. Eberhardt, Taher Daud, D. A. Kerns, T. X. Brown, A. P. Thakoor:
  Competitive neural architecture for hardware solution to the assignment problem. 431-442
  
• Shun-ichi Amari:
  Dualistic geometry of the manifold of higher-order neurons. 443-451
  
• Stephen Grossberg, David Somers:
  Synchronized oscillations during cooperative feature linking in a cortical model of visual perception. 453-466
  
• Mathilde Mougeot, Robert Azencott, Bernard Angéniol:
  Image compression with back propagation: Improvement of the visual restoration using different cost functions. 467-476
  
• Arun D. Kulkarni:
  Solving ill-posed problems with artificial neural networks. 477-484
  
• Laura Ignizio Burke:
  Clustering characterization of adaptive resonance. 485-491
  
• Gail A. Carpenter, Stephen Grossberg, David B. Rosen:
  ART 2-A: An adaptive resonance algorithm for rapid category learning and recognition. 493-504
  
• Youichi Kobuchi:
  State evaluation functions and Lyapunov functions for neural networks. 505-510
  
• Edward K. Blum, Leong Kwan Li:
  Approximation theory and feedforward networks. 511-515
  
• Hung-Chun Yau, Michael T. Manry:
  Iterative improvement of a nearest neighbor classifier. 517-524
  
• Daniel B. Rayburn, Adolph J. Januszkiewicz, Gary R. Ripple, John Truwit, Harold F. Summey, Thomas R. Young, Casey C. Klimasauskas, Jamie M. Lee, James R. Snapper:
  Identification of mediator specific cardiovascular waveforms using a back propagation neural network. 525-530
  

Volume 4, Number 5, 1991

• Jack F. Gerrissen:
  On the network-based emulation of human visual search. 543-564
  
• Gail A. Carpenter, Stephen Grossberg, John H. Reynolds:
  ARTMAP: Supervised real-time learning and classification of nonstationary data by a self-organizing neural network. 565-588
  
• Brian Telfer, David Casasent:
  Neural closure associative processor. 589-598
  
• Subramania I. Sudharsanan, Malur K. Sundareshan:
  Exponential stability and a systematic synthesis of a neural network for quadratic minimization. 599-613
  
• Tariq Samad:
  Back propagation with expected source values. 615-618
  
• Xinhua Zhuang, Yunxin Zhao, Thomas S. Huang:
  A neural net algorithm for multidimensional maximum entropy spectrum estimation. 619-626
  
• Reiner Lenz:
  On probabilistic invariance. 627-641
  
• Marc M. Van Hulle, Guy A. Orban:
  Representation and processing in a stochastic neural network: An integrated approach. 643-655
  
• Denise Gorse, John G. Taylor:
  A continuous input RAM-based stochastic neural model. 657-665
  
• Ahmed S. Abutaleb:
  A neural network for the estimation of forces acting on radar targets. 667-678
  
• Jaroslav Stark:
  Iterated Function Systems as neural networks. 679-690
  

Volume 4, Number 6, 1991

• Patrick W. B. Moore, Herbert L. Roitblat, Ralph H. Penner, Paul E. Nachtigall:
  Recognizing successive dolphin echoes with an integrator gateway network. 701-709
  
• M. Daniel Tom, Manoel Fernando Tenorio:
  Short utterance recognition using a network with minimum training. 711-722
  
• Stephen Grossberg, Lonce L. Wyse:
  A neural network architecture for figure-ground separation of connected scenic figures. 723-742
  
• Eun-Jin Kim, Yillbyung Lee:
  Handwritten Hangul recognition using a modified neocognitron. 743-750
  
• Michael Georgiopoulos, Gregory L. Heileman, Juxin Huang:
  Properties of learning related to pattern diversity in ART1. 751-757
  
• Gail A. Carpenter, Stephen Grossberg, David B. Rosen:
  Fuzzy ART: Fast stable learning and categorization of analog patterns by an adaptive resonance system. 759-771
  
• Michael Reiss, John G. Taylor:
  Storing temporal sequences. 773-787
  
• Paul C. Bressloff, John G. Taylor:
  Discrete time leaky integrator network with synaptic noise. 789-801
  
• Bertrand G. Giraud, Lon Chang Liu, Christophe P. Bernard, Herbert Axelrad:
  Optimal approximation of square integrable functions by a flexible one-hidden-layer neural network of excitatory and inhibitory neuron pairs. 803-815
  
• Yoshifusa Ito:
  Approximation of functions on a compact set by finite sums of a sigmoid function without scaling. 817-826
  
• Osamu Fujita:
  A method for designing the internal representation of neural networks and its application to network synthesis. 827-837
  
• Wolfgang J. Daunicht:
  DEFAnet--A deterministic neural network concept for function approximation. 839-845
  
• Wayne H. Joerding, Jack L. Meador:
  Encoding a priori information in feedforward networks. 847-856