Forventes på lager: 19-01-2023
ELM learning theories show that effective learning algorithms can be derived based on randomly generated hidden neurons (biological neurons, artificial neurons, wavelets, Fourier series, etc.) as long as they are nonlinear piecewise continuous, independent of training dataand application environments.
| Forlag | Springer International Publishing AG |
| Type | Bog |
| Format | Hardback |
| Sprog | Engelsk |
| Udgave | 2023 ed. |
| Udgivelsesdato | 19-01-2023 |
| Første udgivelsesår | 2023 |
| Serie | Proceedings in Adaptation, Learning and Optimization |
| Illustrationer | 47 Illustrations, color; 10 Illustrations, black and white |
| Fagredaktør | Kaj-Mikael Bjork |
| Originalsprog | Switzerland |
| Sideantal | 172 |
| Indbinding | Hardback |
| Forlag | Springer International Publishing AG |
| Sideoplysninger | 172 pages, 47 Illustrations, color; 10 Illustrations, black and white |
| Mål | 235 x 155 |
| ISBN-13 / EAN-13 | 9783031216770 |