Pastāsti draugiem par šo preci:
Theoretical Advances in Neural Computation and Learning Kai-yeung Siu
Theoretical Advances in Neural Computation and Learning
Kai-yeung Siu
This text examines some of the recent advances in the development of a theoretical framework for studying neural networks. It emphasizes the computational issues in artificial neural networks and compiles a set of pioneering research works for the study of neural networks and machine learning.
468 pages, biography
| Mediji | Grāmatas Hardcover Book (Grāmata ar cieto muguriņu un vāku) |
| Izlaists | 1994. gada 30. novembris |
| ISBN13 | 9780792394785 |
| Izdevēji | Kluwer Academic Publishers |
| Lapas | 468 |
| Izmēri | 156 × 234 × 26 mm · 866 g |
| Valoda | Angļu |
| Redaktors | Etc. |
| Redaktors | Roychowdhury, Vwani |