By Nikolay Nikolaev,Hitoshi Iba
This booklet promises theoretical and useful wisdom for constructing algorithms that infer linear and non-linear multivariate types, supplying a strategy for inductive studying of polynomial neural community types (PNN) from facts. The textual content emphasizes an prepared version id method wherein to find types that generalize and are expecting good. The e-book extra allows the invention of polynomial types for time-series prediction.
Read Online or Download Adaptive Learning of Polynomial Networks: Genetic Programming, Backpropagation and Bayesian Methods (Genetic and Evolutionary Computation) PDF
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Extra resources for 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) by Nikolay Nikolaev,Hitoshi Iba