Adaptive Learning of Polynomial Networks: Genetic Programming, Backpropagation and Bayesian Methods (Genetic and Evolutionary Computation)

Adaptive Learning of Polynomial Networks: Genetic Programming, Backpropagation and Bayesian Methods (Genetic and Evolutionary Computation)


This publication offers theoretical and sensible wisdom for constructing algorithms that infer linear and non-linear multivariate types, delivering a strategy for inductive studying of polynomial neural community versions (PNN) from info. The textual content emphasizes an geared up version identity technique wherein to find versions that generalize and are expecting good. The ebook additional allows the invention of polynomial types for time-series prediction.

Show sample text content

Download sample