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.
Unique approach of modelling methods with artificial neuronal networks Practical applications in Ecology and Evolution Numerous case studies
Sovan Lek
Tempo algorithms artificial neural network ecology ecosystem ecosystem ecology evolution fuzzy genetics modeling neural networks performance phytoplankton plankton vegetation