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.
| ISBN: | 9783642631160 |
| Publication date: | 21st October 2012 |
| Author: | Sovan Lek, JeanFrancois Guegan |
| Publisher: | Springer an imprint of Springer Berlin Heidelberg |
| Format: | Paperback |
| Pagination: | 262 pages |
| Series: | Environmental Science and Engineering |
| Genres: |
The environment Ecological science, the Biosphere Applied mathematics Computer modelling and simulation Artificial intelligence |