Principal Component Analysis Networks and Algorithms
tarafından
Kong, Xiangyu. author.
Başlık
:
Principal Component Analysis Networks and Algorithms
Yazar
:
Kong, Xiangyu. author.
ISBN
:
9789811029158
Yazar
:
Kong, Xiangyu. author.
Edisyon
:
1st ed. 2017.
Fiziksel Niteleme
:
XXII, 323 p. 86 illus., 41 illus. in color. online resource.
İçindekiler
:
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.
Özet
:
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 deterministic discrete-time systems method to analyze the convergence of PCA/MCA algorithms. Readers should be familiar with numerical analysis and the fundamentals of statistics, such as the basics of least squares and stochastic algorithms. Although it focuses on neural networks, the book only presents their learning law, which is simply an iterative algorithm. Therefore, no a priori knowledge of neural networks is required. This book will be of interest and serve as a reference source to researchers and students in applied mathematics, statistics, engineering, and other related fields.
Konu Başlığı
:
Engineering.
Optical pattern recognition.
Mathematical statistics.
Computer software.
Computational Intelligence. http://scigraph.springernature.com/things/product-market-codes/T11014
Pattern Recognition. http://scigraph.springernature.com/things/product-market-codes/I2203X
Mathematical Models of Cognitive Processes and Neural Networks. http://scigraph.springernature.com/things/product-market-codes/M13100
Statistical Theory and Methods. http://scigraph.springernature.com/things/product-market-codes/S11001
Algorithm Analysis and Problem Complexity. http://scigraph.springernature.com/things/product-market-codes/I16021
Signal, Image and Speech Processing. http://scigraph.springernature.com/things/product-market-codes/T24051
Yazar Ek Girişi
:
Hu, Changhua.
Duan, Zhansheng.
Ek Kurum Yazar
:
SpringerLink (Online service)
Elektronik Erişim
:
Materyal Türü | Barkod | Yer Numarası | Durumu/İade Tarihi |
---|
Electronic Book | 226544-1001 | Q342 | Springer E-Book Collection |