Pastāsti draugiem par šo preci:
Intuitionistic and Type-2 Fuzzy Logic Enhancements in Neural and Optimization Algorithms: Theory and Applications - Studies in Computational Intelligence 2020 edition
Intuitionistic and Type-2 Fuzzy Logic Enhancements in Neural and Optimization Algorithms: Theory and Applications - Studies in Computational Intelligence
This book describes the latest advances in fuzzy logic, neural networks, and optimization algorithms, as well as their hybrid intelligent combinations, and their applications in the areas such as intelligent control, robotics, pattern recognition, medical diagnosis, time series prediction, and optimization.
792 pages, 240 Illustrations, color; 123 Illustrations, black and white; XIV, 792 p. 363 illus., 240
| Mediji | Grāmatas Paperback Book (Grāmata ar mīksto vāku un līmēto muguru) |
| Izlaists | 2021. gada 28. februāris |
| ISBN13 | 9783030354473 |
| Izdevēji | Springer Nature Switzerland AG |
| Lapas | 792 |
| Izmēri | 150 × 220 × 10 mm · 1,11 kg |
| Valoda | Vācu |
| Redaktors | Castillo, Oscar |
| Redaktors | Kacprzyk, Janusz |
| Redaktors | Melin, Patricia |