9780387312392-0387312390-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)

ISBN-13: 9780387312392
ISBN-10: 0387312390
Edition: 2006
Author: Hitoshi Iba, Nikolay Nikolaev
Publication date: 2006
Publisher: Springer
Format: Hardcover 330 pages
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Book details

ISBN-13: 9780387312392
ISBN-10: 0387312390
Edition: 2006
Author: Hitoshi Iba, Nikolay Nikolaev
Publication date: 2006
Publisher: Springer
Format: Hardcover 330 pages

Summary

Adaptive Learning of Polynomial Networks: Genetic Programming, Backpropagation and Bayesian Methods (Genetic and Evolutionary Computation) (ISBN-13: 9780387312392 and ISBN-10: 0387312390), written by authors Hitoshi Iba, Nikolay Nikolaev, was published by Springer in 2006. With an overall rating of 4.4 stars, it's a notable title among other Computer Certification (Introductory & Beginning, Programming) books. You can easily purchase or rent Adaptive Learning of Polynomial Networks: Genetic Programming, Backpropagation and Bayesian Methods (Genetic and Evolutionary Computation) (Hardcover) from BooksRun, along with many other new and used Computer Certification books and textbooks. And, if you're looking to sell your copy, our current buyback offer is $0.3.

Description

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. The text emphasizes an organized model identification process by which to discover models that generalize and predict well. The book further facilitates the discovery of polynomial models for time-series prediction.
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