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Principal Component Analysis Networks and Algorithms 1st ed. 2017 edition
Xiangyu Kong
Principal Component Analysis Networks and Algorithms 1st ed. 2017 edition
Xiangyu Kong
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.
323 pages, 45 black & white illustrations, 41 colour illustrations, biography
Media | Books Hardcover Book (Book with hard spine and cover) |
Released | January 13, 2017 |
ISBN13 | 9789811029134 |
Publishers | Springer Verlag, Singapore |
Pages | 323 |
Dimensions | 155 × 235 × 21 mm · 662 g |
See all of Xiangyu Kong ( e.g. Hardcover Book and Paperback Book )