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Neural Networks

EURASIP Workshop 1990 Sesimbra, Portugal, February 15-17, 1990. Proceedings

  • Conference proceedings
  • © 1990

Overview

Editors:
  1. Luis B. Almeida
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  2. Christian J. Wellekens
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Part of the book series: Lecture Notes in Computer Science (LNCS, volume 412)

Included in the following conference series:

Conference proceedings info: EURASIP 1990.

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Table of contents (23 papers)

  1. Front Matter

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  2. When are k-nearest neighbor and back propagation accurate for feasible sized sets of examples?

    • Eric B. Baum
    Pages 1-25

  3. Complexity theory of neural networks and classification problems

    • G. Cybenko
    Pages 26-44

  4. Generalization performance of overtrained back-propagation networks

    • Yves Chauvin
    Pages 45-55

  5. Stability of the random neural network model

    • Erol Gelenbe
    Pages 56-68

  6. Temporal pattern recognition using EBPS

    • Marco Gori, Giovanni Soda
    Pages 69-80

  7. Markovian spatial properties of a random field describing a stochastic neural network: Sequential or parallel implementation?

    • Thierry Herve, Olivier Francois, Jacques Demongeot
    Pages 81-89

  8. Chaos in neural networks

    • Steve Renals
    Pages 90-99

  9. The “moving targets” training algorithm

    • Richard Rohwer
    Pages 100-109

  10. Acceleration techniques for the backpropagation algorithm

    • Fernando M. Silva, Luís B. Almeida
    Pages 110-119

  11. Rule-injection hints as a means of improving network performance and learning time

    • S. C. Suddarth, Y. L. Kergosien
    Pages 120-129

  12. Inversion in time

    • Sebastian Thrun, Alexander Linden
    Pages 130-140

  13. Cellular neural networks: Dynamic properties and adaptive learning algorithm

    • Lieven Vandenberghe, Shaohua Tan, Joos Vandewalle
    Pages 141-150

  14. Improved simulated annealing, Boltzmann machine, and attributed graph matching

    • Lei Xu, Erkki Oja
    Pages 151-160

  15. Artificial dendritic learning

    • Tony Bell
    Pages 161-174

  16. A neural net model of human short-term memory development

    • Gordon D. A. Brown
    Pages 175-185

  17. Large vocabulary speech recognition using neural-fuzzy and concept networks

    • Nobuo Hataoka, Akio Amano, Toshiyuki Aritsuka, Akira Ichikawa
    Pages 186-196

  18. Speech feature extraction using neural networks

    • Mahesan Niranjan, Frank Fallside
    Pages 197-204

  19. Neural network based continuous speech recognition by combining self organizing feature maps and Hidden Markov Modeling

    • G. Rigoll
    Pages 205-214

  20. Ultra-small implementation of a neural halftoning technique

    • T. Bernard, P. Garda, F. Devos, B. Zavidovique
    Pages 215-224
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  1. Neural Networks

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About this book

The EURASIP workshop contributions collected in this volume have an interdisciplinary character. The authors include psychologists, biologists, engineers and mathematicians as well as computer scientists. The volume starts with two invited papers, by George Cybenko and by Eric Baum, on the formal study of the capabilities of neural networks. The following papers are organized into parts dealing with theory and algorithms, speech processing, image processing, and implementation. The workshop was sponsored by the European Association for Signal Processing without restriction on the origin of participants.

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