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...
| Pubblicato in: | Neurocomputing :an international journal. 17, 1 (1997). |
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| Autore principale: | |
| Natura: | Articolo |
| Lingua: | English |
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