Adaptive Learning of Polynomial Networks: Genetic Programming, Backpropagation and Bayesian Methods - Genetic and Evolutionary Computation - Nikolay Nikolaev - Books - Springer-Verlag New York Inc. - 9781441940605 - February 11, 2011
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Adaptive Learning of Polynomial Networks: Genetic Programming, Backpropagation and Bayesian Methods - Genetic and Evolutionary Computation Softcover reprint of hardcover 1st ed. 2006 edition

Nikolay Nikolaev

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Adaptive Learning of Polynomial Networks: Genetic Programming, Backpropagation and Bayesian Methods - Genetic and Evolutionary Computation Softcover reprint of hardcover 1st ed. 2006 edition

This book delivers theoretical and practical knowledge for developing algorithms that infer linear and non-linear multivariate models, providing a methodology for inductive learning of polynomial neural network models (PNN) from data.


316 pages, biography

Media Books     Paperback Book   (Book with soft cover and glued back)
Released February 11, 2011
ISBN13 9781441940605
Publishers Springer-Verlag New York Inc.
Pages 316
Dimensions 155 × 235 × 17 mm   ·   467 g
Language English  

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