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Fuzzy and Neural Approaches in Engineering

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ISBN-10: 0471160032

ISBN-13: 9780471160038

Edition: 1997

Authors: Lefteri H. Tsoukalas, Robert E. Uhrig, Lotfi A. Zadeh, Lotfi A. Zadeh

List price: $234.95
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Description:

Neural networks and fuzzy systems represent two distinct technologies that deal with uncertainty. This definitive book presents the fundamentals of both technologies, and demonstrates how to combine the unique capabilities of these two technologies for the greatest advantage. Steering clear of unnecessary mathematics, the book highlights a wide range of dynamic possibilities and offers numerous examples to illuminate key concepts. It also explores the value of relating genetic algorithms and expert systems to fuzzy and neural technologies.
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Book details

List price: $234.95
Copyright year: 1997
Publisher: John Wiley & Sons, Incorporated
Publication date: 2/5/1997
Binding: Hardcover
Pages: 600
Size: 6.30" wide x 9.43" long x 1.46" tall
Weight: 2.288
Language: English

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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