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Hines, J. Wesley.

MATLAB supplement to Fuzzy and neural approaches in engineering/ J. Wesley Hines. - xii, 210 pages : illustrations ; 28 cm. + 1 computer disk (3 1/2 in.) - Adaptive and learning systems for signal processing, communications, and control . - Adaptive and learning systems for signal processing, communications, and control. .

"A Wiley-Interscience publication."

Includes bibliographical references (pages 207-210).

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.

ISBN: 0471192473

LCCN: 97154014

Subjects--Uniform Titles:
MATLAB.

Subjects--Topical Terms:
Neural networks (Computer science)
Fuzzy systems.

LC Class. No.: QA76.87 / .H56 1997

Dewey Class. No.: