Illustrating how fuzzy logic and neural networks can be integrated into a model reference control context for real-time control of multivariable systems, this book provides a unified architecture which accommodates several popular learning/reasoning paradigms, including counter propagation networks, radial basis functions and CMAC within a fuzzy context. The book introduces new fuzzy-neural controller structures, and demonstrates the feasibility of the proposed approach by showing applications. It is designed for graduate students of neural networks, intelligent control and fuzzy matters in departments of electrical engineering, computer science and maths.
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Book Description Prentice-Hall, 1995. Book Condition: Fair. This is an ex-library book and may have the usual library/used-book markings inside.This book has hardback covers. In fair condition, suitable as a study copy. No dust jacket. , 600grams, ISBN:9780133379167. Bookseller Inventory # 6824467
Book Description Prentice Hall PTR, 1995. Book Condition: Very Good. 1st Edition. N/A. Ships from the UK. Former Library book. Great condition for a used book! Minimal wear. Bookseller Inventory # GRP91035646
Book Description Prentice Hall PTR, 1995. Book Condition: Good. 1st Edition. N/A. Ships from the UK. Former Library book. Shows some signs of wear, and may have some markings on the inside. Bookseller Inventory # GRP83135601
Book Description Mar 20, 1995. Book Condition: Used: Very Good. Very clean, Ex. university library, Laminated hardcover, Bookseller Inventory # 0731PMOFE17
Book Description Prentice Hall PTR, 1995. Hardcover. Book Condition: Used: Very Good. Ships Out Tomorrow!. Bookseller Inventory # 160225170
Book Description Book Condition: Very Good. Book Condition: Very Good. Bookseller Inventory # 97801333791673.0