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Kong, Xiangyu; Hu, Changhua; Duan, Zhansheng - Principal Component Analysis Networks and Algorithms - 9789811029134 - V9789811029134
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Principal Component Analysis Networks and Algorithms

€ 189.16
FREE Delivery in Ireland
Description for Principal Component Analysis Networks and Algorithms Hardback. Num Pages: 323 pages, 45 black & white illustrations, 41 colour illustrations, biography. BIC Classification: PBWH; UMB; UYQ. Category: (P) Professional & Vocational. Dimension: 235 x 155 x 21. Weight in Grams: 684.
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 ... Read more

Product Details

Format
Hardback
Publication date
2017
Publisher
Springer Verlag, Singapore Singapore
Number of pages
323
Condition
New
Number of Pages
323
Place of Publication
Singapore, Singapore
ISBN
9789811029134
SKU
V9789811029134
Shipping Time
Usually ships in 15 to 20 working days
Ref
99-15

About Kong, Xiangyu; Hu, Changhua; Duan, Zhansheng
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 ... Read more

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