By Nikolay Nikolaev,Hitoshi Iba
This e-book grants theoretical and sensible wisdom for constructing algorithms that infer linear and non-linear multivariate types, offering a strategy for inductive studying of polynomial neural community types (PNN) from info. The textual content emphasizes an equipped version identity approach in which to find versions that generalize and are expecting good. The booklet extra allows the invention of polynomial versions for time-series prediction.
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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