On Interference of Signals and Generalization in Feedforward Neural Networks
| dc.creator | Rataj, Artur | |
| dc.date | 2003-10-06 | |
| dc.date | 2003-11-04 | |
| dc.date.accessioned | 2026-07-07T03:20:24Z | |
| dc.date.available | 2026-07-07T03:20:24Z | |
| dc.description | This paper studies how the generalization ability of neurons can be affected by mutual processing of different signals. This study is done on the basis of a feedforward artificial neural network. The mutual processing of signals can possibly be a good model of patterns in a set generalized by a neural network and in effect may improve generalization. In this paper it is discussed that the interference may also cause a highly random generalization. Adaptive activation functions are discussed as a way of reducing that type of generalization. A test of a feedforward neural network is performed that shows the discussed random generalization. | |
| dc.description | 6 pages, 3 figures. Some changes in text to make it more concise | |
| dc.identifier | https://arxiv.org/abs/cs/0310009 | |
| dc.identifier | http://arxiv.org/abs/cs/0310009 | |
| dc.identifier.uri | http://salesiana.dossiersoluciones.com/handle/123456789/31816 | |
| dc.subject | Neural and Evolutionary Computing | |
| dc.subject | I.2.6 | |
| dc.title | On Interference of Signals and Generalization in Feedforward Neural Networks | |
| dc.type | text |