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Principal Component Analysis Networks and Algorithms Softcover reprint of the original 1st ed. 2017 edition
Xiangyu Kong
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Principal Component Analysis Networks and Algorithms Softcover reprint of the original 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, 41 Illustrations, color; 45 Illustrations, black and white; XXII, 323 p. 86 illus., 41 il
| Media | Bøker Pocketbok (Bok med mykt omslag og limt rygg) |
| Utgitt | 30. april 2018 |
| ISBN13 | 9789811097386 |
| Utgivere | Springer Verlag, Singapore |
| Antall sider | 323 |
| Mål | 485 g |
