Artificial Neuronal Networks
Application to Ecology and Evolution
Nonfiction, Science & Nature, Science, Biological Sciences, Ecology, Environmental Science, Nature
| Author: | ISBN: | 9783642570308 | |
| Publisher: | Springer Berlin Heidelberg | Publication: | December 6, 2012 |
| Imprint: | Springer | Language: | English |
| Author: | |
| ISBN: | 9783642570308 |
| Publisher: | Springer Berlin Heidelberg |
| Publication: | December 6, 2012 |
| Imprint: | Springer |
| Language: | English |
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.
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.
