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
- J. 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
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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