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Intelligent systems : approximation by artificial neural networks

Author: George A Anastassiou
Publisher: Berlin : Springer, 2011.
Series: Intelligent systems reference library, v. 19.
Edition/Format:   eBook : Document : EnglishView all editions and formats
Summary:
This brief monograph is the first one to deal exclusively with the quantitative approximation by artificial neural networks to the identity-unit operator. Here we study with rates the approximation properties of the "right" sigmoidal and hyperbolic tangent artificial neural network positive linear operators. In particular we study the degree of approximation of these operators to the unit operator in the univariate  Read more...
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Genre/Form: Electronic books
Additional Physical Format: Print version:
Anastassiou, George A.
Intelligent systems.
Berlin : Springer, 2011
(DLC) 2011930524
Material Type: Document, Internet resource
Document Type: Internet Resource, Computer File
All Authors / Contributors: George A Anastassiou
ISBN: 9783642214318 3642214312
OCLC Number: 747413770
Description: 1 online resource (106 pages).
Contents: Univariate sigmoidal neural network quantitative approximation --
Univariate hyperbolic tangent neural network quantitative approximation --
Multivariate sigmoidal neural network quantitative approximation --
Multivariate hyperbolic tangent neural network quantitative approximation.
Series Title: Intelligent systems reference library, v. 19.
Responsibility: George A. Anastassiou.

Abstract:

This brief monograph is the first to deal exclusively with the quantitative approximation by artificial neural networks to the identity-unit operator. Each chapter is written in a self-contained  Read more...

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From the reviews:"The present work is devoted to the study of convergence rates and upper bounds of approximation errors. ... Throughout all chapters of the book the same method, the same Read more...

 
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