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Fuzzy and Neural: Interactions and Applications

  • James J. Buckley
  • Thomas Feuring

Part of the Studies in Fuzziness and Soft Computing book series (STUDFUZZ, volume 25)

Table of contents

  1. Front Matter
    Pages I-XIII
  2. James J. Buckley, Thomas Feuring
    Pages 1-2
  3. James J. Buckley, Thomas Feuring
    Pages 3-19
  4. James J. Buckley, Thomas Feuring
    Pages 21-34
  5. James J. Buckley, Thomas Feuring
    Pages 35-48
  6. James J. Buckley, Thomas Feuring
    Pages 49-63
  7. James J. Buckley, Thomas Feuring
    Pages 65-75
  8. James J. Buckley, Thomas Feuring
    Pages 77-96
  9. James J. Buckley, Thomas Feuring
    Pages 97-110
  10. James J. Buckley, Thomas Feuring
    Pages 111-117
  11. James J. Buckley, Thomas Feuring
    Pages 119-132
  12. James J. Buckley, Thomas Feuring
    Pages 133-147
  13. James J. Buckley, Thomas Feuring
    Pages 149-157
  14. Back Matter
    Pages 159-161

About this book

Introduction

This book is about recent research area described as the intersection of fuzzy sets, (layered, feedforward) neural nets and evolutionary algorithms. Also called "soft computing". The treatment is elementary in that all "proofs" have been relegated to the references and the only mathematical prerequisite is elementary differential calculus. No previous knowledge of neural nets nor fuzzy sets is needed. Most of the discussion centers around the authors' own research in this area over the last ten years.
The book brings together results on: (1) approximations between neural nets and fuzzy systems; (2) building hybrid neural nets for fuzzy systems; (3) approximations between fuzzy neural nets for fuzzy systems. New results include the use of evolutionary algorithms to train fuzzy neural nets and the introduction of a "fuzzy teaching machine". The interaction between fuzzy and neural is also illustrated in the use of neural nets to solve fuzzy problems and the use of fuzzy neural nets to solve the "overfitting" problem of regular neural nets. Besides giving a comprehensive theoretical survey of these results the authors also survey the unsolved problems in this exciting, new, area of research.

Keywords

Evolutionary Algorithms Evolutionäre Alorithmen Fuzzy Logic Fuzzy-Logik Neural Nets Soft Computing expert system fuzzy fuzzy set fuzzy system

Authors and affiliations

  • James J. Buckley
    • 1
  • Thomas Feuring
    • 2
  1. 1.Mathematics DepartmentUniversity of Alabama at BirminghamBirminghamUSA
  2. 2.Department of Electrical and Computer ScienceUniversity of SiegenSiegenGermany

Bibliographic information

  • DOI https://doi.org/10.1007/978-3-7908-1881-9
  • Copyright Information Physica-Verlag Heidelberg 1998
  • Publisher Name Physica, Heidelberg
  • eBook Packages Springer Book Archive
  • Print ISBN 978-3-662-11807-8
  • Online ISBN 978-3-7908-1881-9
  • Series Print ISSN 1434-9922
  • Series Online ISSN 1860-0808
  • Buy this book on publisher's site