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ORCIDInternational Journal of Neural Systems, Volume 2
Volume 2, Number 1-2, 1991
- Hans Liljenström:
Modeling the Dynamics of Olfactory Cortex Using Simplified Network Units and Realistic Architecture. 1-15 - Suzanna Becker
:
Unsupervised Learning Procedures for Neural Networks. 17-33 - Yves Chauvin:
Constrained Hebbian Learning: Gradient Descent to Global Minima in an N-Dimensional Landscape. 35-46 - John G. Taylor:
Neural Network Capacity for Temporal Sequence Storage. 47-54 - Solomon Zvi Lerner, John R. Deller Jr.:
Speech Recognition by a Self-Organizing Feature Finder. 55-78 - Jeffery Lee Johnson:
Modeling Head end Escape Behavior in the Earthworm: the Efferent Arc and the End Organ. 79-90 - Mo-Yuen Chow, Griff L. Bilbro, Sui Oi Yee:
Application of Learning Theory to an Artificial Neural Network that Detects Incipient Faults in Single-Phase Induction Motors. 91-100 - Jouni Tomberg, Kimmo Kaski:
Some IC Implementations of Artificial Neural Networks Using Synchronous Pulse-Density Modulation Technique. 101-114 - I. Kocher, Rémi Monasson:
Generalization Error and Dynamical Effects in a Two-Dimensional Patches Detector. 115-124 - Jürgen Schmidhuber, Rudolf Huber:
Learning to Generate Artificial Fovea Trajectories for Target Detection. 125-134 - Allan Hartstein:
A Backpropagation Algorithm for a Network of Neurons with Threshold Controlled Synapses. 135-141 - M. Miller, E. N. Miranda:
Stability of Multilayered Neural Networks. 143-146 - Jacques Ariel Sirat:
A Fast Neural Algorithm for Principal Component Analysis and Singular Value Decomposition. 147-155 - David G. Stork:
Book Review: "Introduction to the Theory of Neural Computation", John Hertz, Anders Krogh, and Richard G. Palmer. 157-158
Volume 2, Number 3, 1991
- David G. Stork:
Sources of Neural Structure in Speech and Language Processing. 159-167 - Lei Xu, Adam Krzyzak, Erkki Oja:
Neural Nets for Dual Subspace Pattern Recognition Method. 169-184 - Patrick J. Zwietering, Emile H. L. Aarts, Jaap Wessels:
The Design and Complexity of Exact Multilayered Perceptrons. 185-199 - Marc M. Van Hulle:
A Goal Programming Network for Mixed Integer Linear Programming: a CaseStudy for the Job-Shop Scheduling Problem. 201-209 - Jian-Xiong Wu, Chorkin Chan:
A Three-Layer Adaptive Network for Pattern Density Estimation and Classification. 211-220 - Lluís Garrido, Vicens Gaitán:
Use of Neural Nets to Measure The? Polarization and its Bayesian Interpretation. 221-228 - Christopher M. Bishop:
A Fast Procedure for Retraining the Multilayer Perceptron. 229-236 - Vinod Menon, D. S. Tang:
Population Oscillations in Neuronal Groups. 237-262 - Valter Rodrigues, Josef Skrzypek:
Combining Similarities and Dissimilarities in Supervised Learning. 263-273
Volume 2, Number 4, 1991
- Neil Burgess, Mario Notturno Granieri, Stefano Patarnello:
3-D Object Classification: Application of a Constructive Algorithm. 275-282 - Ronny Meir:
On Deriving Deterministic Learning Rules from Stochastic Systems. 283-289 - Erik M. Johansson, Farid U. Dowla, Dennis M. Goodman:
Backpropagation Learning for Multilayer Feed-Forward Neural Networks Using the Conjugate Gradient Method. 291-301 - Wolfgang Banzhaf, Manfred Schmutz:
Some Notes on Competition Among Cell Assemblies. 303-313 - Mats Bengtsson:
Asymptotic Properties of a Third Order Neural Network. 315-322 - Conrado J. Pérez Vicente, Jordi Carrabina, Elena Valderrama:
Discrete Learning in Feed-Forward Neural Networks. 323-329 - Jiahan Chen, Michael A. Shanblatt, Chia-Yiu Maa:
Improved Neural Networks For Linear and Nonlinear Programming. 331-339 - Mohammad Bahrami:
Recognition of Rules and Exceptions by Neural Networks. 341-344 - Anthony V. Robins:
Multiple Representations in Connectionist Systems. 345-362 - David G. Stork:
Book Review: "Evolution of the First Nervous Systems", Peter A. V. Anderson (ed.). 363-365
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