Computational Intelligence Systems and Applications : Neuro-Fuzzy and Fuzzy Neural Synergisms / by Marian B. Gorzałczany.
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 technique...
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| Online Access: |
Full Text (via Springer) |
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| Main Author: | |
| Format: | eBook |
| Language: | English |
| Published: |
Heidelberg :
Physica-Verlag HD : Imprint : Physica,
2002.
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| Series: | Studies in fuzziness and soft computing ;
86. |
| Subjects: |
| Summary: | 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. |
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| Physical Description: | 1 online resource (x, 364 pages 147 figures, 21 tables) |
| Bibliography: | Includes bibliographical references (pages 337-357) and index. |
| ISBN: | 9783790818017 3790818011 |
| ISSN: | 1434-9922 ; |
| Language: | English. |