Initialisation of Nonlinearities for PNL and Wiener systems Inversion
| Contribuinte(s) |
Universitat de Vic. Escola Politècnica Superior Universitat de Vic. Grup de Recerca en Tecnologies Digitals International Work-Conference on Artificial and Natural Neural Networks (7a : 2003 : Maó, Menorca, Illes Balears) |
|---|---|
| Data(s) |
2003
|
| Resumo |
This paper proposes a very fast method for blindly initial- izing a nonlinear mapping which transforms a sum of random variables. The method provides a surprisingly good approximation even when the basic assumption is not fully satis¯ed. The method can been used success- fully for initializing nonlinearity in post-nonlinear mixtures or in Wiener system inversion, for improving algorithm speed and convergence. |
| Formato |
8 p. |
| Identificador | |
| Idioma(s) |
eng |
| Publicador |
Springer |
| Direitos |
(c) Springer (The original publication is available at www.springerlink.com) Tots els drets reservats |
| Palavras-Chave | #Xarxes neuronals (Informàtica) |
| Tipo |
info:eu-repo/semantics/conferenceObject |
