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Principal Component Analysis Networks and Algorithms Xiangyu Kong Softcover reprint of the original 1st ed. 2017 edition
Principal Component Analysis Networks and Algorithms
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
| Mediji | Grāmatas Paperback Book (Grāmata ar mīksto vāku un līmēto muguru) |
| Izlaists | 2018. gada 30. aprīlis |
| ISBN13 | 9789811097386 |
| Izdevēji | Springer Verlag, Singapore |
| Lapas | 323 |
| Izmēri | 150 × 220 × 10 mm · 485 g |
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