Neurofuzzy Adaptive Modeling and Control : International Series in Systems and Control Engineering

Brown, Martin, Chris, Harris

ISBN 10: 0131344536 ISBN 13: 9780131344532
Edité par Prentice Hall PTR, 1994
Ancien(s) ou d'occasion Couverture rigide

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A propos de cet article

Description :

Former library copy. Pages intact with minimal writing/highlighting. The binding may be loose and creased. Dust jackets/supplements are not included. Includes library markings. Stock photo provided. Product includes identifying sticker. Better World Books: Buy Books. Do Good. N° de réf. du vendeur 6694382-6

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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.

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Détails bibliographiques

Titre : Neurofuzzy Adaptive Modeling and Control : ...
Éditeur : Prentice Hall PTR
Date d'édition : 1994
Reliure : Couverture rigide
Etat : Good

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