Overview
Systemically summarizes neural based PCA methods with its extensions and generalizations
Presents novel neural based extensions/generalizations of PCA algorithms
Introduces many performance analysis methods of neural based PCA methods and its extensions and generalizations
Provides the deterministic discrete time (DDT) systems methods to analyze some PCA/MCA algorithms for single component cases
Includes supplementary material: sn.pub/extras
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Table of contents (9 chapters)
Authors and Affiliations
About the authors
Xiangyu Kong, received the B.S. degree in optical engineering from Beijing Institute of Technology, China, in 1990, and Ph.D. degree in control engineering from Xi'an Jiaotong University, China, in 2005. He is currently an associate professor in department of control engineering at Xi'an Institute of Hi-Tech. His research interests include adaptive signal processing, neural networks and feature extraction. He has published two monographs (both as first author) and more than 60 papers, in which nearly 20 articles were published in premier journal including IEEE Trans. Signal Process., IEEE Trans. Neural Netw. and Learning Syst., IEEE Signal Process. Lett., Neural Networks, and so on. He has presided two projected for national natural science foundation of China.
Changhua Hu, is currently a professor in Department of Control Engineering at Xi'an Institute of Hi-Tech. His research interests include fault diagnosis in control systems, fault prognostics and predictive maintenance. He has published three monographs and more than 200 papers in premier journals including IEEE Transactions, EJOR, and so on. In 2010, he obtained National Outstanding Young natural science foundation. He was awarded National-class candidate of "New Century BaiQianWan Talents Program", and National Middle-aged and Young Experts with Outstanding Contributions in 2012. In 2013, he was awarded Cheung Kong Scholar.
Zhansheng Duan, received the B.S. and Ph.D. degrees from Xi'an Jiaotong University, China, in 1999 and 2005, respectively, both in electrical engineering. He also received PhD degree in electrical engineering from the University of New Orleans, in 2010. From January 2010 to April 2010, he worked as an assistant research professor in the Department of Computer Science, University of New Orleans. In July 2010, he joined the Center for Information Engineering Science Research, Xi'an Jiaotong University as an associate professor. His research interests include estimation and detection theory, target tracking, information fusion, nonlinear filtering and performance evaluation. Dr. Duan has co-authored one monograph: Multisource Information Fusion (Tsinghua University Press, 2006), 50 journal and conference proceedings papers. He is also a member of ISIF (International Society of Information Fusion) and the Honor Society of Eta Kappa Nu, and is listed in Who’s Who in America 2015.
Bibliographic Information
Book Title: Principal Component Analysis Networks and Algorithms
Authors: Xiangyu Kong, Changhua Hu, Zhansheng Duan
DOI: https://doi.org/10.1007/978-981-10-2915-8
Publisher: Springer Singapore
eBook Packages: Engineering, Engineering (R0)
Copyright Information: Science Press, Beijing and Springer Nature Singapore Pte Ltd. 2017
Hardcover ISBN: 978-981-10-2913-4Published: 13 January 2017
Softcover ISBN: 978-981-10-9738-6Published: 30 April 2018
eBook ISBN: 978-981-10-2915-8Published: 09 January 2017
Edition Number: 1
Number of Pages: XXII, 323
Number of Illustrations: 45 b/w illustrations, 41 illustrations in colour
Additional Information: Jointly published with Science Press, Beijing, China
Topics: 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