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Studies in Fuzziness and Soft Computing

Hybrid Intelligent Systems for Pattern Recognition Using Soft Computing

An Evolutionary Approach for Neural Networks and Fuzzy Systems

Authors: Melin, Patricia, Castillo, Oscar

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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.

Table of contents (12 chapters)

Table of contents (12 chapters)

Buy this book

eBook $139.00
price for USA in USD
  • The eBook version of this title will be available soon
  • ISBN 978-3-540-32378-5
  • Digitally watermarked, DRM-free
  • Included format:
  • ebooks can be used on all reading devices
  • Immediate eBook download after purchase
Hardcover $179.99
price for USA in USD
Softcover $209.00
price for USA in USD
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Bibliographic Information

Bibliographic Information
Book Title
Hybrid Intelligent Systems for Pattern Recognition Using Soft Computing
Book Subtitle
An Evolutionary Approach for Neural Networks and Fuzzy Systems
Authors
Series Title
Studies in Fuzziness and Soft Computing
Series Volume
172
Copyright
2005
Publisher
Springer-Verlag Berlin Heidelberg
Copyright Holder
Springer-Verlag Berlin Heidelberg
eBook ISBN
978-3-540-32378-5
DOI
10.1007/b97585
Hardcover ISBN
978-3-540-24121-8
Softcover ISBN
978-3-642-06325-1
Series ISSN
1434-9922
Edition Number
1
Number of Pages
XIV, 272
Topics