The nonlinear PCA learning rule in independent component analysis.
It has been verified experimentally that when nonlinear Principal Component Analysis (PCA) learning rules are used for the weights of a neural layer, the neurons have signal separation capabilities. The network is performing Independent Component Analysis. The learning rule, earlier proposed by the...
| Udgivet i: | Neurocomputing :an international journal. 17, 1 (1997). |
|---|---|
| Hovedforfatter: | |
| Format: | Article |
| Sprog: | English |
| Fag: |