Intelligent Control Based on Flexible Neural Networks: 19 - Rilegato

Kyoko, Watanabe; Teshnehlab, M.

Rilegato

ISBN 10: 0792356837 ISBN 13: 9780792356837

Casa editrice: Springer-Verlag GmbH, 1999

Riassunto

The use of flexible sigmoid functions makes artificial neural networks more versatile. This volume determines learning algorithms for sigmoid functions in several different learning modes using flexible structures of neural networks with new derivation algorithms. The book is aimed at electrical, electronic, and mechanical control and systems engineers concerned with intelligent control who wish to explore neural network approaches. Here, for readers who are unfamiliar with neural network computing, is a concise introduction to the main existing types of flexible neural networks. This work will be an aid to new research in which high abilities in artificial neural networks in intelligent control design and development can be achieved.

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Contenuti

Acknowledgements. Preface. 1. Introduction. 2. Fundamentals of Neural Networks. 3. Flexible Neural Networks. 4. Self-Tuning PID Control. 5. Self-Tuning Computed Torque Control: Part I. 6. Self-Tuning Computed Torque Control: Part II. 7. Development of an Inverse Dynamics Model. 8. Self-organizing Flexible Neural Network. 9. Conclusions.

Product Description

Book by Teshnehlab M Kyoko Watanabe

Dettagli dell'edizione

• Editore: Springer-Verlag GmbH
• Data di pubblicazione: 1999
• Lingua: Inglese
• ISBN 10: 0792356837
• ISBN 13: 9780792356837
• Rilegatura: Copertina rigida
• Numero di pagine: 256
• Contatto del produttore: Springer Nature Customer Service Center GmbH; ProductSafety@springernature.com; ; Europaplatz 3; Heidelberg; 69115; Germania