Evolutionary learning algorithms for neural adaptive control /
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 satisfac...
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| Format: | eBook |
| Language: | English |
| Published: |
Berlin ; New York :
Springer,
[1997]
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| Series: | Perspectives in neural computing.
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| Subjects: | |
| Online Access: | Connect to the full text of this electronic book |
| Summary: | 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. |
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| Item Description: | Electronic resource. |
| Physical Description: | 1 online resource (xi, 211 pages) : illustrations. |
| Format: | Master and use copy. Digital master created according to Benchmark for Faithful Digital Reproductions of Monographs and Serials, Version 1. Digital Library Federation, December 2002. |
| Bibliography: | Includes bibliographical references (pages 187-205) and index. |
| ISBN: | 9781447109037 (electronic bk.) 1447109031 (electronic bk.) |