By Nikolay Nikolaev,Hitoshi Iba
This publication supplies theoretical and sensible wisdom for constructing algorithms that infer linear and non-linear multivariate versions, offering a technique for inductive studying of polynomial neural community types (PNN) from information. The textual content emphasizes an equipped version id procedure through which to find versions that generalize and are expecting good. The ebook extra enables the invention of polynomial versions for time-series prediction.
Read or Download Adaptive Learning of Polynomial Networks: Genetic Programming, Backpropagation and Bayesian Methods (Genetic and Evolutionary Computation) PDF
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