Adaptive Learning of Polynomial Networks Genetic Programming, Backpropagation and Bayesian Methods /

This book provides theoretical and practical knowledge for develop­ ment of algorithms that infer linear and nonlinear models. It offers a methodology for inductive learning of polynomial neural network mod­ els from data. The design of such tools contributes to better statistical data modelling whe...

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Bibliographic Details
Main Authors: Nikolaev, Nikolay Y. (Author), Iba, Hitoshi (Author)
Corporate Author: SpringerLink (Online service)
Format: Electronic eBook
Language:English
Published: Boston, MA : Springer US, 2006.
Series:Genetic and Evolutionary Computation
Subjects:
Online Access:Full Text via HEAL-Link
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