Shows how Fuzzy Logic and Neural Networks can be intgrated into a Model Reference Control context for real-time control of multivariable systems. It provides a unified architecture which accommodates several popular learning/reasoning paradigms, including Counter Propagation Networks, Radial Basis Functions and CMAC a fuzzy context. Unified treatment of fuzzy-algorithm-based and neural network based control systems. Introduces new fuzzy-nueral controller structures. Demonstrates the feasibility of proposed approach by showing applications. Graduate students of Neural Networks, Intellegent Control and fuzzy matters in depts of Electrical Engineering, Computer Science and Maths.
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Book Description Prentice Hall PTR, 1995. Book Condition: Good. 1st Edition. 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 Prentice Hall PTR, 1995. Book Condition: Very Good. 1st Edition. Ships from the UK. Former Library book. Great condition for a used book! Minimal wear. Bookseller Inventory # GRP91035646
Book Description Prentice-Hall, 1995. "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. ". Bookseller Inventory # 6824467
Book Description Prentice Hall PTR, 1995. Hardcover. Book Condition: Used: Very Good. Ships Out Tomorrow!. Bookseller Inventory # 160225170
Book Description Prentice Hall. Hardcover. Book Condition: Very Good. 0133379167. Bookseller Inventory # 0133379167
Book Description Mar 20, 1995. Book Condition: Used: Very Good. Very clean, Ex. university library, Laminated hardcover, Bookseller Inventory # 0731PMOFE17