Artificial Neuronal Networks
By: edited by Sovan Lek, Jean-François Guégan
Contributors: Guégan, Jean-François
Series: Environmental Science, 1863-5520; Environmental sciences
Publisher: Springer Berlin Heidelberg; Imprint; Springer
Published: 2000
Place of publication: Berlin, Heidelberg
Language: eng
Format: [electronic resource] /
Number of pages: 262
ISBN-13: 9783642570308
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.