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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 when addressing tasks from various areas like system identification, chaotic t ...more
Paperback, 316 pages
Published February 11th 2011 by Springer
(first published January 1st 2006)
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