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. Hardcover. Book Condition: Good. Ex Library Book with usual stamps and stickers. Good Clean Condition Book. Good condition is defined as: a copy that has been read but remains in clean condition. All of the pages are intact and the cover is intact and the spine may show signs of wear. The book may have minor markings which are not specifically mentioned. Most items will be dispatched the same or the next working day. Bookseller Inventory # mon0003781511
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 Mar 20, 1995. Book Condition: Used: Very Good. Very clean, Ex. university library, Laminated hardcover, Bookseller Inventory # 0731PMOFE17