Description: Principal Component Analysis Networks and Algorithms by Xiangyu Kong, Changhua Hu, Zhansheng Duan Estimated delivery 3-12 business days Format Hardcover Condition Brand New Description 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. Publisher Description 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. Author Biography 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 Xian Jiaotong University, China, in 2005. He is currently an associate professor in department of control engineering at Xian 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 Xian 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 Xian 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, Xian 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 Whos Who in America 2015. Details ISBN 981102913X ISBN-13 9789811029134 Title Principal Component Analysis Networks and Algorithms Author Xiangyu Kong, Changhua Hu, Zhansheng Duan Format Hardcover Year 2017 Pages 323 Edition 1st Publisher Springer Verlag, Singapore GE_Item_ID:140391968; About Us Grand Eagle Retail is the ideal place for all your shopping needs! With fast shipping, low prices, friendly service and over 1,000,000 in stock items - you're bound to find what you want, at a price you'll love! Shipping & Delivery Times Shipping is FREE to any address in USA. Please view eBay estimated delivery times at the top of the listing. Deliveries are made by either USPS or Courier. We are unable to deliver faster than stated. International deliveries will take 1-6 weeks. NOTE: We are unable to offer combined shipping for multiple items purchased. 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Price: 224.97 USD
Location: Fairfield, Ohio
End Time: 2025-01-19T03:13:05.000Z
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Restocking Fee: No
Return shipping will be paid by: Buyer
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ISBN-13: 9789811029134
Book Title: Principal Component Analysis Networks and Algorithms
Number of Pages: Xxii, 323 Pages
Publication Name: Principal and Minor Component Analysis Neural Networks to Principal Component Analysis Networks and Algorithms
Language: English
Publisher: Springer
Publication Year: 2017
Subject: Engineering (General), Intelligence (Ai) & Semantics, Neural Networks, Computer Vision & Pattern Recognition
Item Weight: 227.4 Oz
Type: Textbook
Item Length: 9.3 in
Author: Changhua Hu, Xiangyu Kong, Zhansheng Duan
Subject Area: Computers, Technology & Engineering
Item Width: 6.1 in
Format: Hardcover