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Table of contents

  1. Front Matter
  2. Hirohide Ushida, Tomohiko Sato, Toru Yamaguchi, Tomohiro Takagi
    Pages 1-18
  3. Mohammad Teshnehlab, Keigo Watanabe
    Pages 34-47
  4. Emdad Khan, Fatih Unal
    Pages 48-55
  5. Christian Schuster, Thomas Schmitz, Manfred Hiller
    Pages 85-100
  6. Koji Shimojima, Yasuhisa Hasegawa, Toshio Fukuda
    Pages 127-147
  7. T. Furuhashi, Y. Miyata, K. Nakaoka, Y. Uchikawa
    Pages 173-189
  8. Fumiaki Takeda, Sigeru Omatu
    Pages 190-201
  9. Suran Goonatilake, John A. Campbell, Nesar Ahmad
    Pages 202-223
  10. Back Matter

About these proceedings

Introduction

This book presents 14 rigorously reviewed revised papers selected from more than 50 submissions for the 1994 IEEE/ Nagoya-University World Wisepersons Workshop, WWW'94, held in August 1994 in Nagoya, Japan.
The combination of approaches based on fuzzy logic, neural networks and genetic algorithms are expected to open a new paradigm of machine learning for the realization of human-like information processing systems. The first six papers in this volume are devoted to the combination of fuzzy logic and neural networks; four papers are on how to combine fuzzy logic and genetic algorithms. Four papers investigate challenging applications of fuzzy systems and of fuzzy-genetic algorithms.

Keywords

Fuzzy-Logik Fuzzy-Neuronale Technologien Fuzzy-genetische Algorithmen Maschinelles Lernen Neuronale Netze artificial intelligence fuzzy logic fuzzy system fuzzy-genetic algorithms fuzzy-neural technology logic machine learning neural networks

Bibliographic information

  • DOI https://doi.org/10.1007/3-540-60607-6
  • Copyright Information Springer-Verlag Berlin Heidelberg 1995
  • Publisher Name Springer, Berlin, Heidelberg
  • eBook Packages Springer Book Archive
  • Print ISBN 978-3-540-60607-9
  • Online ISBN 978-3-540-48457-8
  • Series Print ISSN 0302-9743
  • Series Online ISSN 1611-3349
  • Buy this book on publisher's site