Neurofuzzy Adaptive Modelling and Control (Prentice Hall International Series in Systems and Control Engineering) This book is in very good condition and will be shipped within 24 hours of ordering. The cover may have some limited signs of wear but the pages are clean, intact and the spine remains undamaged. This book has clearly been well maintained and looked after thus far. Money back guarantee if you are not satisfied. See all our books here, order more than 1 book and get discounted shipping. .

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Bibliographic Details

Title: Neurofuzzy Adaptive Modelling and Control (Prentice Hall International Series in Systems and Control Engineering)
Publisher: Prentice-Hall
Publication Date: 1994
Language: English
ISBN 10: 0131344536
ISBN 13: 9780131344532
Binding: Hardcover
Condition: Very Good

About this title

Synopsis

The drive for autonomy in manufacturing is making increasing demands on control systems, both for improved performance and extra flexibility. Traditional control systems generally make infeasible assumptions which limit their application, therefore current research has concentrated on intelligent control techniques in order to make systems flexible and robust. This book provides a unified description of several adaptive neural and fuzzy networks and introduces the associate memory class of systems, which describe the similarities and differences existing between fuzzy and neural algorithms. Three networks are desctibed in detail - the Albus CMAC, the B-spline network and a class of fuzzy systems - and then analyzed, their desirable features (local learning, linearly dependent on the parameter set, fuzzy interpretation) are emphasized and the algorithms are all evaluated on a common time series prediction problem.

From the Publisher

This text aims to provide a unified treatment of neurofuzzy learning systems. It investigates the theory behind adaptive neurofuzzy systems, and compares and contrasts several neurofuzzy networks.

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