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Perspectives in Neural Computing

Evolutionary Learning Algorithms for Neural Adaptive Control

Authors: Dracopoulos, Dimitris

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About this Textbook

Evolutionary Learning Algorithms for Neural Adaptive Control is an advanced textbook, which investigates how neural networks and genetic algorithms can be applied to difficult adaptive control problems which conventional results are either unable to solve , or for which they can not provide satisfactory results. It focuses on the principles involved, rather than on the modelling of the applications themselves, and therefore provides the reader with a good introduction to the fundamental issues involved.

Table of contents (9 chapters)

Table of contents (9 chapters)

Buy this book

eBook $74.99
price for USA in USD (gross)
  • ISBN 978-1-4471-0903-7
  • Digitally watermarked, DRM-free
  • Included format: PDF
  • ebooks can be used on all reading devices
  • Immediate eBook download after purchase
Softcover $99.00
price for USA in USD
  • ISBN 978-3-540-76161-7
  • Free shipping for individuals worldwide
  • Immediate ebook access, if available*, with your print order
  • Usually dispatched within 3 to 5 business days.
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Bibliographic Information

Bibliographic Information
Book Title
Evolutionary Learning Algorithms for Neural Adaptive Control
Authors
Series Title
Perspectives in Neural Computing
Copyright
1997
Publisher
Springer-Verlag London
Copyright Holder
Springer-Verlag London Limited
eBook ISBN
978-1-4471-0903-7
DOI
10.1007/978-1-4471-0903-7
Softcover ISBN
978-3-540-76161-7
Series ISSN
1431-6854
Edition Number
1
Number of Pages
XI, 211
Number of Illustrations
14 b/w illustrations
Topics

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