Static and Dynamic Neural Networks.pdf

Static and Dynamic Neural Networks PDF

Madan Gupta

Provides comprehensive treatment of the theory of both static anddynamic neural networks.
* Theoretical concepts are illustrated by reference to practicalexamples Includes end-of-chapter exercises and end-of-chapterexercises.
*An Instructor Support FTP site is available from the Wileyeditorial department.

Introduction to Dynamic Neural Networks - … Introduction to Dynamic Neural Networks. Neural networks can be classified into dynamic and static categories. Static (feedforward) networks have no feedback elements and contain no delays; the output is calculated directly from the input through feedforward connections.

9780471460923 ISBN
Englisch SPRACHE
Static and Dynamic Neural Networks.pdf


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Static and Dynamic Neural Networks

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The improvement of performance with fewer time delay elements strongly suggests that a static model could be more accurate. It is possible that the dynamic.

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Pergamon 0952-1976(95)00047-X Engng Applic. Artif. Intell. Vol. 8. No. 6, pp. 633-642, 1995 Elsevier Science Ltd. Printed in Great Britain Contributed Paper Static and Dynamic Preprocessing Methods in Neural Networks AH CHUNG TSOI University of Queensland, Australia ANDREW BACK University of Queensland, Australia (Received April 1995; in revised form July 1995) Preprocessing is recognized as