Principal Component Analysis Networks and Algorithms

• Main Authors: Kong, Xiangyu (Author), Hu, Changhua (Author), Duan, Zhansheng (Author)
• Corporate Author: SpringerLink (Online service)
• Format: Electronic eBook
• Language: English
• Published: Singapore : Springer Singapore : Imprint: Springer, 2017.
• Subjects: Engineering.; Algorithms.; Pattern recognition.; Neural networks (Computer science).; Statistics.; Computational intelligence.; Computational Intelligence.; Pattern Recognition.; Mathematical Models of Cognitive Processes and Neural Networks.; Statistical Theory and Methods.; Algorithm Analysis and Problem Complexity.; Signal, Image and Speech Processing.

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 a...

Table of 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.