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 |
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London
Springer London
1997, 1997
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| Edition: | 1st ed. 1997 |
| Series: | Perspectives in Neural Computing
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| Subjects: | |
| Online Access: | |
| Collection: | Springer Book Archives -2004 - Collection details see MPG.ReNa |
| 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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| Physical Description: | XI, 211 p. 14 illus online resource |
| ISBN: | 9781447109037 |