Artificial Neuronal Networks
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Author
Contributions
- Guégan, Jean-François - Contributor
Publication
2000 - Springer, Berlin, Heidelberg, Germany
Language
English
Word Count
65,500 words, Guess
Page Count
262 pages
Physical Format
Electronic resource
Identifiers
- Internet Archiveartificialneuron00leks
- ISBN-103642570305
- ISBN-139783642570308
- OCLC Control Number840292336
- Better World Books9783642570308
and 1 more
- Open LibraryOL27018303M
Classifications
- LCCGE45.M38
Description
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.
Subjects
Series Statement
- Environmental Science, 1863-5520
- Environmental sciences
Links
Other Editions
- Artificial Neuronal Networks
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