Hybrid Intelligent Systems for Pattern Recognition Using Soft Computing

An Evolutionary Approach for Neural Networks and Fuzzy Systems

  • Authors
  • Patricia┬áMelin
  • Oscar┬áCastillo

Part of the Studies in Fuzziness and Soft Computing book series (STUDFUZZ, volume 172)

Table of contents

  1. Front Matter
  2. Patricia Melin, Oscar Castillo
    Pages 1-5
  3. Patricia Melin, Oscar Castillo
    Pages 7-32
  4. Patricia Melin, Oscar Castillo
    Pages 33-53
  5. Patricia Melin, Oscar Castillo
    Pages 55-83
  6. Patricia Melin, Oscar Castillo
    Pages 85-107
  7. Patricia Melin, Oscar Castillo
    Pages 109-129
  8. Patricia Melin, Oscar Castillo
    Pages 131-168
  9. Patricia Melin, Oscar Castillo
    Pages 169-184
  10. Patricia Melin, Oscar Castillo
    Pages 185-206
  11. Patricia Melin, Oscar Castillo
    Pages 241-256
  12. Back Matter

About this book


This monograph describes new methods for intelligent pattern recognition using soft computing techniques including neural networks, fuzzy logic, and genetic algorithms. Hybrid intelligent systems that combine several soft computing techniques are needed due to the complexity of pattern recognition problems. Hybrid intelligent systems can have different architectures, which have an impact on the efficiency and accuracy of pattern recognition systems, to achieve the ultimate goal of pattern recognition. This book also shows results of the application of hybrid intelligent systems to real-world problems of face, fingerprint, and voice recognition. This monograph is intended to be a major reference for scientists and engineers applying new computational and mathematical tools to intelligent pattern recognition and can be also used as a textbook for graduate courses in soft computing, intelligent pattern recognition, computer vision, or applied artificial intelligence.


algorithm algorithms architecture artificial intelligence complexity computer computer vision fuzzy fuzzy system fuzzy systems genetic algorithms intelligence intelligent systems logic optimization

Bibliographic information

  • DOI
  • Copyright Information Springer-Verlag Berlin/Heidelberg 2005
  • Publisher Name Springer, Berlin, Heidelberg
  • eBook Packages Engineering Engineering (R0)
  • Print ISBN 978-3-540-24121-8
  • Online ISBN 978-3-540-32378-5
  • Series Print ISSN 1434-9922
  • Series Online ISSN 1860-0808
  • Buy this book on publisher's site
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