Fusion of neural networks, fuzzy sets, and genetic algorithms : industrial applications / edited by Lakhmi C. Jain, N.M. Martin.
Fusion of Neural Networks, Fuzzy Systems and Genetic Algorithms integrates neural networks, fuzzy systems, and evolutionary computing in system design that enables its readers to handle complexity - offsetting the demerits of one paradigm by the merits of another. This book presents specific project...
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Online Access: |
Full Text (via Taylor & Francis) |
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Other Authors: | , |
Format: | eBook |
Language: | English |
Published: |
Boca Raton :
CRC Press,
©1999.
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Series: | CRC Press international series on computational intelligence.
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Subjects: |
Summary: | Fusion of Neural Networks, Fuzzy Systems and Genetic Algorithms integrates neural networks, fuzzy systems, and evolutionary computing in system design that enables its readers to handle complexity - offsetting the demerits of one paradigm by the merits of another. This book presents specific projects where fusion techniques have been applied. The chapters start with the design of a new fuzzy-neural controller. Remaining chapters discuss the application of expert systems, neural networks, fuzzy control, and evolutionary computing techniques in modern engineering systems. Fusion of Neural Networks, Fuzzy Systems and Genetic Algorithms covers the spectrum of applications - comprehensively demonstrating the advantages of fusion techniques in industrial applications. |
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Physical Description: | 1 online resource (354 pages) : illustrations. |
Bibliography: | Includes bibliographical references and index. |
ISBN: | 9780367811464 0367811464 9781000722949 1000722945 9781000715125 1000715124 |
Source of Description, Etc. Note: | Source of description: Print version record. |
Biographical or Historical Data: | Editors: Lakhmi C. Jain, N.M. Martin. |