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Self-Organizing Maps - Springer Series in Information Sciences Teuvo Kohonen 3rd ed. 2001 edition
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Self-Organizing Maps - Springer Series in Information Sciences
Teuvo Kohonen
The Self-Organizing Map (SOM), with its variants, is the most popular artificial neural network algorithm in the unsupervised learning category. Many fields of science have adopted the SOM as a standard analytical tool: statistics, signal processing, control theory, financial analyses, experimental physics, chemistry and medicine.
502 pages, 22 black & white tables, biography
| Mediji | Grāmatas Paperback Book (Grāmata ar mīksto vāku un līmēto muguru) |
| Izlaists | 2000. gada 16. novembris |
| ISBN13 | 9783540679219 |
| Izdevēji | Springer-Verlag Berlin and Heidelberg Gm |
| Lapas | 502 |
| Izmēri | 157 × 233 × 28 mm · 734 g |
| Valoda | Angļu Vācu |
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