By Nikolay Nikolaev,Hitoshi Iba
This e-book grants theoretical and sensible wisdom for constructing algorithms that infer linear and non-linear multivariate versions, offering a strategy for inductive studying of polynomial neural community types (PNN) from info. The textual content emphasizes an equipped version id procedure during which to find types that generalize and expect good. The publication extra allows 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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Additional info 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