Artificial Neuronal Networks /
In this book, an easily understandable account of modelling methods with artificial neuronal networks for practical applications in ecology and evolution is provided. Special features include examples of applications using both supervised and unsupervised training, comparative analysis of artificial...
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| Format: | eBook |
| Language: | English |
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Berlin, Heidelberg :
Springer Berlin Heidelberg : Imprint : Springer,
2000.
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| Series: | Environmental sciences.
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| Online Access: | Connect to the full text of this electronic book |
| Summary: | In this book, an easily understandable account of modelling methods with artificial neuronal networks for practical applications in ecology and evolution is provided. Special features include examples of applications using both supervised and unsupervised training, comparative analysis of artificial neural networks and conventional statistical methods, and proposals to deal with poor datasets. Extensive references and a large range of topics make this book a useful guide for ecologists, evolutionary ecologists and population geneticists. |
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| Item Description: | Electronic resource. |
| Physical Description: | 1 online resource (XXVI, 262 pages 99 illustrations) |
| ISBN: | 9783642570308 (electronic bk.) 3642570305 (electronic bk.) |