Computational Intelligence Systems and Applications
Neuro-Fuzzy and Fuzzy Neural Synergisms
Authors: Gorzalczany, Marian B.
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- About this book
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This book presents new concepts and implementations of Computational Intelligence (CI) systems (based on neuro-fuzzy and fuzzy neural synergisms) and a broad comparative analysis with the best-known existing neuro-fuzzy systems as well as with systems representing other knowledge-discovery techniques such as rough sets, decision trees, regression trees, probabilistic rule induction etc. This presentation is preceded by a discussion of the main directions of synthesizing fuzzy sets, artificial neural networks and genetic algorithms in the framework of designing CI systems. In order to keep the book self-contained, introductions to the basic concepts of fuzzy systems, artificial neural networks and genetic algorithms are given. This book is intended for researchers and practitioners in AI/CI fields and for students of computer science or neighbouring areas.
- Table of contents (10 chapters)
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Introduction
Pages 1-15
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Elements of the theory of fuzzy sets
Pages 17-51
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Essentials of artificial neural networks
Pages 53-84
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Brief introduction to genetic algorithms
Pages 85-101
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Main directions of combining artificial neural networks, fuzzy sets and evolutionary computations in designing computational intelligence systems
Pages 103-125
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Table of contents (10 chapters)
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Bibliographic Information
- Bibliographic Information
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- Book Title
- Computational Intelligence Systems and Applications
- Book Subtitle
- Neuro-Fuzzy and Fuzzy Neural Synergisms
- Authors
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- Marian B. Gorzalczany
- Series Title
- Studies in Fuzziness and Soft Computing
- Series Volume
- 86
- Copyright
- 2002
- Publisher
- Physica-Verlag Heidelberg
- Copyright Holder
- Springer-Verlag Berlin Heidelberg
- eBook ISBN
- 978-3-7908-1801-7
- DOI
- 10.1007/978-3-7908-1801-7
- Hardcover ISBN
- 978-3-7908-1439-2
- Softcover ISBN
- 978-3-662-00334-3
- Series ISSN
- 1434-9922
- Edition Number
- 1
- Number of Pages
- X, 364
- Topics
