Neurofuzzy Adaptive Modelling and Control (Prentice-Hall International Series in Systems and Control Engineering) - Hardcover

Brown, Martin; Harris, Chris

 
9780131344532: Neurofuzzy Adaptive Modelling and Control (Prentice-Hall International Series in Systems and Control Engineering)
Hardcover
ISBN 10: 0131344536 ISBN 13: 9780131344532
Publisher: Pearson College Div, 1995

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.

"synopsis" may belong to another edition of this title.

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.

"About this title" may belong to another edition of this title.

Publisher
Pearson College Div
Publication date
1995
Language
English
ISBN 10 
0131344536
ISBN 13 
9780131344532
Binding
Hardcover
Edition number
1
Number of pages
528