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Neurocomputing

Algorithms, Architectures and Applications

  • Conference proceedings
  • © 1990

Overview

Editors:
  1. Françoise Fogelman Soulié

    1. Laboratoire de Recherche en Informatique, Université de Paris Sud, Orsay Cedex, France

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  2. Jeanny Hérault

    1. Institut National Polytechnique de Grenoble, LTIRF, Grenoble Cedex, France

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    You can also search for this editor in PubMed   Google Scholar

Part of the book series: NATO ASI Subseries F: (NATO ASI F, volume 68)

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Table of contents (46 papers)

  1. Front Matter

    Pages I-XI
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  2. Algorithms

    1. Front Matter

      Pages 1-1
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    2. Incorporating knowledge in multi-layer networks: the example of protein secondary structure prediction

      • C. Mejia, F. Fogelman Soulié
      Pages 3-13

    3. Product Units with Trainable Exponents and Multi-Layer Networks

      • Richard Durbin, David E. Rumelhart
      Pages 15-26

    4. Recurrent Backpropagation and Hopfield Networks

      • Luis B. Almeida, João P. Neto
      Pages 27-36

    5. Optimization of the number of hidden cells in a multilayer perceptron. Validation in the linear case

      • François Vallet
      Pages 37-40

    6. Single-layer learning revisited: a stepwise procedure for building and training a neural network

      • S. Knerr, L. Personnaz, G. Dreyfus
      Pages 41-50

    7. Synchronous Boltzmann Machines and Gibbs Fields: Learning Algorithms

      • Robert Azencott
      Pages 51-63

    8. Fast Computation of Kohonen Self-Organization

      • J. Lampinen, E. Oja
      Pages 65-74

    9. Learning algorithms in neural networks: recent results

      • Marc Mézard
      Pages 75-79

    10. Statistical approach to the Jutten-Hérault algorithm

      • Pierre Comon
      Pages 81-88

    11. The N Programming Language

      • Gaël de La Croix Vaubois, Catherine Moulinoux, Benoît Derot
      Pages 89-92

    12. Neural Networks Dynamics

      • Eric Goles
      Pages 93-102

    13. Dynamical Analysis of Classifier Systems

      • M. Compiani, D. Montanari, R. Serra, P. Simonini
      Pages 103-107

    14. Neuro-Computing Aspects in Motor Planning & Control

      • Pietro Morasso, Gianni Vercelli, Renato Zaccaria
      Pages 109-115

    15. Neural Networks and Symbolic A.I

      • Matthew K. O. Lee
      Pages 117-120

  3. Architectures

    1. Front Matter

      Pages 121-121
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    2. Integrated artificial neural networks: components for higher level architectures with new properties

      • Michel Weinfeld
      Pages 123-130

    3. Basic VLSI Circuits for Neural Networks

      • Karl Goser
      Pages 131-140

    4. An Analog VLSI Architecture for Large Neural Networks

      • Michel Verleysen, Paul Jespers
      Pages 141-144
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Keywords

About this book

This volume contains the collected papers of the NATO Conference on Neurocomputing, held in Les Arcs in February 1989. For many of us, this conference was reminiscent of another NATO Conference, in 1985, on Disordered Systems [1], which was the first conference on neural nets to be held in France. To some of the participants that conference opened, in a way, the field of neurocomputing (somewhat exotic at that time!) and also allowed for many future fruitful contacts. Since then, the field of neurocomputing has very much evolved and its audience has increased so widely that meetings in the US have often gathered more than 2000 participants. However, the NATO workshops have a distinct atmosphere of free discussions and time for exchange, and so, in 1988, we decided to go for another session. This was an ~casion for me and some of the early birds of the 1985 conference to realize how much, and how little too, the field had matured.

Editors and Affiliations

  • Laboratoire de Recherche en Informatique, Université de Paris Sud, Orsay Cedex, France

    Françoise Fogelman Soulié

  • Institut National Polytechnique de Grenoble, LTIRF, Grenoble Cedex, France

    Jeanny Hérault

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