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Principal component analysis networks and algorithms

Author: Xiangyu Kong; Changhua Hu; Zhansheng Duan
Publisher: Singapore : Springer, [2017]
Edition/Format:   eBook : Document : EnglishView all editions and formats
Summary:
This book not only provides a comprehensive introduction to neural-based PCA methods in control science, but also presents many novel PCA algorithms and their extensions and generalizations, e.g., dual purpose, coupled PCA, GED, neural based SVD algorithms, etc. It also discusses in detail various analysis methods for the convergence, stabilizing, self-stabilizing property of algorithms, and introduces the  Read more...
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Genre/Form: Electronic books
Additional Physical Format: Printed edition:
Material Type: Document, Internet resource
Document Type: Internet Resource, Computer File
All Authors / Contributors: Xiangyu Kong; Changhua Hu; Zhansheng Duan
ISBN: 9789811029158 9811029156
OCLC Number: 968211913
Description: 1 online resource
Contents: Introduction --
Eigenvalue and singular value decomposition --
Principal component analysis neural networks --
Minor component analysis neural networks --
Dual purpose methods for principal and minor component analysis --
Deterministic discrete time system for PCA or MCA methods --
Generalized feature extraction method --
Coupled principal component analysis --
Singular feature extraction neural networks.
Responsibility: Xiangyu Kong, Changhua Hu, Zhansheng Duan.

Abstract:

This book not only provides a comprehensive introduction to neural-based PCA methods in control science, but also presents many novel PCA algorithms and their extensions and generalizations, e.g.,  Read more...

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