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Author:   JW Hines ,  Lefteri Tsoukalas ,  Lotfi A. Zadeh ,  Robert E. Uhrig
Publisher:   John Wiley and Sons Ltd
Imprint:   John Wiley & Sons Inc
Dimensions:   Width: 21.50cm , Height: 1.30cm , Length: 28.20cm
Weight:   0.628kg
ISBN:  

9780471192473

ISBN 10:   0471192473
Pages:   224
Publication Date:   06 May 1997
Audience:   College/higher education ,  Professional and scholarly ,  Undergraduate ,  Postgraduate, Research & Scholarly
Format:   Paperback
Publisher's Status:   Active
Availability:   Manufactured on demand  
We will order this item for you from a manufactured on demand supplier.

Table of Contents

Introduction to Hybrid Artificial Intelligence Systems. FUZZY SYSTEMS: CONCEPTS AND FUNDAMENTALS. Foundations of Fuzzy Approaches. Fuzzy Relations. Fuzzy Numbers. Linguistic Descriptions and Their Analytical Forms. Fuzzy Control. NEURAL NETWORKS: CONCEPTS AND FUNDAMENTALS. Fundamentals of Neural Networks. Backpropagation and Related Training Algorithms. Competitive, Associative, and Other Special Neural Networks. Dynamic Systems and Neural Control. Practical Aspects of Using Neural Networks. INTEGRATED NEURAL-FUZZY TECHNOLOGY. Fuzzy Methods in Neural Networks. Fuzzy Methods in Fuzzy Systems. Selected Hybrid Neurofuzzy Applications. Dynamic Hybrid Neurofuzzy Systems. OTHER ARTIFICAL INTELLIGENCE SYSTEMS. Expert Systems in Neurofuzzy Systems. Genetic Algorithms. Epilogue. Appendix. Index.

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J. WESLEY HINES, PhD, is a research assistant professor in the Nuclear Engineering Department at the University of Tennessee.

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