Overview
- Describes the use of soft computing techniques for achieving pattern recognition in real-world applications
- Shows results of the application of hybrid intelligent systems to real-world problems of face, fingerprint, and voice recognition
Part of the book series: Studies in Fuzziness and Soft Computing (STUDFUZZ, volume 172)
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Table of contents (12 chapters)
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Front Matter
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Back Matter
Keywords
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.
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: Patricia Melin, Oscar Castillo
Series Title: Studies in Fuzziness and Soft Computing
DOI: https://doi.org/10.1007/b97585
Publisher: Springer Berlin, Heidelberg
eBook Packages: Engineering, Engineering (R0)
Copyright Information: Springer-Verlag Berlin Heidelberg 2005
Hardcover ISBN: 978-3-540-24121-8Published: 08 March 2005
Softcover ISBN: 978-3-642-06325-1Published: 30 November 2010
eBook ISBN: 978-3-540-32378-5Published: 16 March 2005
Series ISSN: 1434-9922
Series E-ISSN: 1860-0808
Edition Number: 1
Number of Pages: XIV, 272
Topics: Theory of Computation, Mathematical and Computational Engineering, Pattern Recognition, Artificial Intelligence, Control, Robotics, Mechatronics, Signal, Image and Speech Processing