Volume 4,
Number 1,
1991
- Stephen Grossberg:
The third anniversary of Neural Networks.
1-
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- 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
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- Frédéric Alexandre, Frédéric Guyot, Jean Paul Haton, Yves Burnod:
The cortical column: A new processing unit for multilayered networks.
15-25
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- Vladimir Cherkassky, Hossein Lari-Najafi:
Constrained topological mapping for nonparametric regression analysis.
27-40
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- Hal L. Smith:
Convergent and oscillatory activation dynamics for cascades of neural nets with nearest neighbor competitive or cooperative interactions.
41-46
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- John L. Johnson:
Globally stable saturable learning laws.
47-51
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- John W. L. Merrill, Robert F. Port:
Fractally configured neural networks.
53-60
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- Yoshio Hirose, Koichi Yamashita, Shimpei Hijiya:
Back-propagation algorithm which varies the number of hidden units.
61-66
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- Jocelyn Sietsma, Robert J. F. Dow:
Creating artificial neural networks that generalize.
67-79
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- Akio Utsugi, Masatoshi Ishikawa:
Construction of inner space representation of latticed network circuits by learning.
81-87
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- Leonid I. Perlovsky, Margaret M. McManus:
Maximum likelihood neural networks for sensor fusion and adaptive classification.
89-102
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- Yong Yao, Walter J. Freeman, Brian C. Burke, Qing Yang:
Pattern recognition by a distributed neural network: An industrial application.
103-121
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Volume 4,
Number 2,
1991
- Michael Kuperstein:
INFANT neural controller for adaptive sensory-motor coordination.
131-145
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- Paolo Gaudiano, Stephen Grossberg:
Vector associative maps: Unsupervised real-time error-based learning and control of movement trajectories.
147-183
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- Esther Levin, Raanan Gewirtzman, Gideon F. Inbar:
Neural network architecture for adaptive system modeling and control.
185-191
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- X. Xu, W. T. Tsai:
Effective neural algorithms for the traveling salesman problem.
193-205
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- Sukhan Lee, Rhee Man Kil:
A Gaussian potential function network with hierarchically self-organizing learning.
207-224
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- A. K. Rigler, J. M. Irvine, Thomas P. Vogl:
Rescaling of variables in back propagation learning.
225-229
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- Patrick A. Shoemaker, Michael J. Carlin, Randy L. Shimabukuro:
Back propagation learning with trinary quantization of weight updates.
231-241
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- Eduardo D. Sontag, Héctor J. Sussmann:
Back propagation separates where perceptrons do.
243-249
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- Kurt Hornik:
Approximation capabilities of multilayer feedforward networks.
251-257
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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
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- Nicholas G. Hatsopoulos, William H. Warren Jr:
Visual navigation with a neural network.
303-317
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- Sanjay S. Kumar, Allon Guez:
ART based adaptive pole placement for neurocontrollers.
319-335
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- William R. Softky, Daniel M. Kammen:
Correlations in high dimensional or asymmetric data sets: Hebbian neuronal processing.
337-347
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- Patrick Gallinari, Sylvie Thiria, Fouad Badran, Françoise Fogelman-Soulié:
On the relations between discriminant analysis and multilayer perceptrons.
349-360
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- Nico Weymaere, Jean-Pierre Martens:
A fast and robust learning algorithm for feedforward neural networks.
361-369
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- Michael K. Weir:
A method for self-determination of adaptive learning rates in back propagation.
371-379
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- Vladik Kreinovich:
Arbitrary nonlinearity is sufficient to represent all functions by neural networks: A theorem.
381-383
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- Yoshifusa Ito:
Representation of functions by superpositions of a step or sigmoid function and their applications to neural network theory.
385-394
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- Dov Ingman, Yoram Merlis:
Local minimum escape using thermodynamic properties of neural networks.
395-404
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- Wolfgang Balzer, Masanobu Takahashi, Jun Ohta, Kazuo Kyuma:
Weight quantization in Boltzmann machines.
405-409
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- Robert M. Burton, William G. Faris:
Reliable evaluation of neural networks.
411-415
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- Edward A. Manykin, M. N. Belov:
Higher-order neural networks and photon-echo effect.
417-420
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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
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- Shun-ichi Amari:
Dualistic geometry of the manifold of higher-order neurons.
443-451
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- Stephen Grossberg, David Somers:
Synchronized oscillations during cooperative feature linking in a cortical model of visual perception.
453-466
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- Mathilde Mougeot, Robert Azencott, Bernard Angéniol:
Image compression with back propagation: Improvement of the visual restoration using different cost functions.
467-476
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- Arun D. Kulkarni:
Solving ill-posed problems with artificial neural networks.
477-484
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- Laura Ignizio Burke:
Clustering characterization of adaptive resonance.
485-491
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- Gail A. Carpenter, Stephen Grossberg, David B. Rosen:
ART 2-A: An adaptive resonance algorithm for rapid category learning and recognition.
493-504
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- Youichi Kobuchi:
State evaluation functions and Lyapunov functions for neural networks.
505-510
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- Edward K. Blum, Leong Kwan Li:
Approximation theory and feedforward networks.
511-515
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- Hung-Chun Yau, Michael T. Manry:
Iterative improvement of a nearest neighbor classifier.
517-524
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- 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
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Volume 4,
Number 5,
1991
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
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- M. Daniel Tom, Manoel Fernando Tenorio:
Short utterance recognition using a network with minimum training.
711-722
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- Stephen Grossberg, Lonce L. Wyse:
A neural network architecture for figure-ground separation of connected scenic figures.
723-742
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- Eun-Jin Kim, Yillbyung Lee:
Handwritten Hangul recognition using a modified neocognitron.
743-750
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- Michael Georgiopoulos, Gregory L. Heileman, Juxin Huang:
Properties of learning related to pattern diversity in ART1.
751-757
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- 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
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- Michael Reiss, John G. Taylor:
Storing temporal sequences.
773-787
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- Paul C. Bressloff, John G. Taylor:
Discrete time leaky integrator network with synaptic noise.
789-801
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- 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
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- Yoshifusa Ito:
Approximation of functions on a compact set by finite sums of a sigmoid function without scaling.
817-826
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- Osamu Fujita:
A method for designing the internal representation of neural networks and its application to network synthesis.
827-837
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- Wolfgang J. Daunicht:
DEFAnet--A deterministic neural network concept for function approximation.
839-845
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- Wayne H. Joerding, Jack L. Meador:
Encoding a priori information in feedforward networks.
847-856
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Copyright © Wed Jun 4 19:17:02 2008
by Michael Ley (ley@uni-trier.de)
