Statistics, Evolutionary Computation & Genetic Algorithms, Neural Networks, Evolution

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

Name: Adaptive Learning of Polynomial Networks: Genetic Programming, Backpropagation and Bayesian Methods
Author: Nikolay Nikolaev
ISBN: 9781441940605

by Nikolay Nikolaev, Hitoshi Iba

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Overview

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.