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.
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