By Nikolay Nikolaev,Hitoshi Iba
This e-book provides theoretical and sensible wisdom for constructing algorithms that infer linear and non-linear multivariate types, delivering a technique for inductive studying of polynomial neural community types (PNN) from information. The textual content emphasizes an prepared version identity strategy in which to find types that generalize and expect good. The booklet extra enables the invention of polynomial versions 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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Additional 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