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ORCIDNeural 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 - Xin 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, Timothy 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 A. Telfer, David P. 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 Giraud, Lon Chang Liu, Christophe 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
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