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Artificial Neural Networks - ICANN 96

6th International Conference, Bochum, Germany, July 16 - 19, 1996. Proceedings

  • Conference proceedings
  • © 1996

Overview

Editors:
  1. Christoph Malsburg
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  2. Werner Seelen
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  3. Jan C. Vorbrüggen
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  4. Bernhard Sendhoff
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Part of the book series: Lecture Notes in Computer Science (LNCS, volume 1112)

Included in the following conference series:

Conference proceedings info: ICANN 1996.

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Table of contents (152 papers)

  1. Learning structure with Many-Take-All networks

    • D. Tax, H. J. Kappen
    Pages 95-100

  2. Dynamic feature linking in stochastic networks with short range interactions

    • Bert Kappen, Pablo Varona
    Pages 101-106

  3. Collective dynamics of a system of adaptive velocity channels

    • U. Hillenbrand, J. L. van Hemmen
    Pages 107-114

  4. Local linear model trees for on-line identification of time-variant nonlinear dynamic systems

    • Oliver Nelles
    Pages 115-120

  5. Nonparametric data selection for improvement of parametric neural learning: A cumulant-surrogate method

    • Gustavo Deco, Bernd Schürmann
    Pages 121-126

  6. Prediction of mixtures

    • K. Pawelzik, K. -R. Müller, J. Kohlmorgen
    Pages 127-132

  7. Learning dynamical systems produced by recurrent neural networks

    • Masahiro Kimura, Ryohei Nakano
    Pages 133-138

  8. Purely local neural Principal Component and Independent Component Learning

    • Aapo Hyvärinen
    Pages 139-144

  9. How fast can neuronal algorithms match patterns?

    • Rolf P. Würtz, Wolfgang Konen, Kay-Ole Behrmann
    Pages 145-150

  10. An annealed ‘neural gas’ network for robust vector quantization

    • Thomas Hofmann, Joachim M. Buhmann
    Pages 151-156

  11. Associative completion and investment learning using PSOMs

    • Jörg Walter, Helge Ritter
    Pages 157-164

  12. GTM: A principled alternative to the Self-Organizing Map

    • Christopher M. Bishop, Markus Svensén, Christopher K. I. Williams
    Pages 165-170

  13. Creating term associations using a hierarchical ART architecture

    • Alberto Muñoz
    Pages 171-177

  14. Architecture selection through statistical sensitivity analysis

    • Thomas Czernichow
    Pages 179-184

  15. Regression by topological map: Application on real data

    • Daigremont Ph., Lassus H., Badran F., Thiria S.
    Pages 185-190

  16. Signal processing by neural networks to create “virtual” sensors and model-based diagnostics

    • Kenneth A. Marko, John V. James, Timothy M. Feldkamp, Gintaras V. Puskorius, Lee A. Feldkamp
    Pages 191-196

  17. Development of an advisory system based on a neural network for the operation of a coal fired power plant

    • R. M. L. Frenken, C. M. Rozendaal, H. E. Dijk, P. C. Knoester
    Pages 197-202

  18. Blast furnace analysis with neural networks

    • Joachim Angstenberger
    Pages 203-208

  19. Diagnosis tools for telecommunication network traffic management

    • Philippe Leray, Patrick Gallinari, Elisabeth Didelet
    Pages 209-214

  20. Adaptive saccade control of a Binocular Head with Dynamic Cell Structures

    • Jörg Brüske, Michael Hansen, Lars Riehn, Gerald Sommer
    Pages 215-220
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  1. Artificial Neural Networks — ICANN 96

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About this book

This book constitutes the refereed proceedings of the sixth International Conference on Artificial Neural Networks - ICANN 96, held in Bochum, Germany in July 1996.
The 145 papers included were carefully selected from numerous submissions on the basis of at least three reviews; also included are abstracts of the six invited plenary talks. All in all, the set of papers presented reflects the state of the art in the field of ANNs. Among the topics and areas covered are a broad spectrum of theoretical aspects, applications in various fields, sensory processing, cognitive science and AI, implementations, and neurobiology.

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