Adaptive Learning of Polynomial Networks: Genetic Programming, Backpropagation and Bayesian Methods - Couverture rigide

Livre 1 sur 8: Genetic and Evolutionary Computation

Nikolaev, Nikolay; Iba, Hitoshi

 
9780387312392: Adaptive Learning of Polynomial Networks: Genetic Programming, Backpropagation and Bayesian Methods
Couverture rigide
ISBN 10 : 0387312390 ISBN 13 : 9780387312392
Editeur : Springer-Verlag New York Inc., 2006

Synopsis

This book delivers theoretical and practical knowledge for developing algorithms that infer linear and non-linear multivariate models, providing a methodology for inductive learning of polynomial neural network models (PNN) from data. The text emphasizes an organized identification process by which to discover models that generalize and predict well. The investigations detailed here demonstrate that PNN models evolved by genetic programming and improved by backpropagation are successful when solving real-world tasks. Here is an essential reference for researchers and practitioners in the fields of evolutionary computation, artificial neural networks and Bayesian inference, as well for advanced-level students of genetic programming.

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Éditeur
Springer-Verlag New York Inc.
Date d'édition
2006
Langue
anglais
ISBN 10 
0387312390
ISBN 13 
9780387312392
Reliure
Relié
Nombre de pages
330
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Autres éditions populaires du même titre

9781441940605: Adaptive Learning of Polynomial Networks: Genetic Programming, Backpropagation and Bayesian Methods

Edition présentée

ISBN 10 :  144194060X ISBN 13 :  9781441940605
Editeur : Springer, 2011
Couverture souple