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

Posted By: MoneyRich
Adaptive Learning of Polynomial Networks: Genetic Programming, Backpropagation and Bayesian Methods

Adaptive Learning of Polynomial Networks: Genetic Programming, Backpropagation and Bayesian Methods (Genetic and Evolutionary Computation) by Nikolay Nikolaev
English | May 3, 2006 | ISBN: 0387312390 | 316 pages | PDF | 15 MB

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 model identification process by which to discover models that generalize and predict well. The book further facilitates the discovery of polynomial models for time-series prediction.


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