| dc.contributor.author | Hammer, Barbara | |
| dc.date | 2012-11-01 | |
| dc.date.accessioned | 2018-01-08T09:16:10Z | |
| dc.date.available | 2018-01-08T09:16:10Z | |
| dc.date.issued | 2012 | |
| dc.identifier.issn | 1610-1987 | |
| dc.identifier.uri | http://dl.gi.de/handle/20.500.12116/11314 | |
| dc.description.abstract | This contribution contains a short history of neural computation and an overview about the major learning paradigms and neural architectures used today. | |
| dc.publisher | Springer | |
| dc.relation.ispartof | KI - Künstliche Intelligenz: Vol. 26, No. 4 | |
| dc.relation.ispartofseries | KI - Künstliche Intelligenz | |
| dc.subject | Learning paradigms | |
| dc.subject | Neural networks | |
| dc.title | Challenges in Neural Computation | |
| dc.type | Text/Journal Article | |
| mci.reference.pages | 333-340 | |
| gi.identifier.doi | 10.1007/s13218-012-0209-0 | |
