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Interpretability of Computational Intelligence-Based Regression Models - SpringerBriefs in Computer Science Tamas Kenesei 1st ed. 2015 edition
Interpretability of Computational Intelligence-Based Regression Models - SpringerBriefs in Computer Science
Tamas Kenesei
The key idea of this book is that hinging hyperplanes, neural networks and support vector machines can be transformed into fuzzy models, and interpretability of the resulting rule-based systems can be ensured by special model reduction and visualization techniques.
82 pages, 20 black & white illustrations, 14 colour illustrations, 12 black & white tables, 14 colou
| Mediji | Grāmatas Paperback Book (Grāmata ar mīksto vāku un līmēto muguru) |
| Izlaists | 2015. gada 10. novembris |
| ISBN13 | 9783319219417 |
| Izdevēji | Springer International Publishing AG |
| Lapas | 82 |
| Izmēri | 155 × 235 × 5 mm · 145 g |
| Valoda | Franču |