Training Wavelet Networks for Nonlinear Dynamic Input-Output Modeling - ESPCI Paris - École supérieure de physique et de chimie industrielles de la ville de Paris Access content directly
Journal Articles Neurocomputing Year : 1998

Training Wavelet Networks for Nonlinear Dynamic Input-Output Modeling

Yacine Oussar
  • Function : Author
  • PersonId : 868621
Isabelle Rivals

Abstract

In the framework of nonlinear process modeling, we propose training algorithms for feedback wavelet networks used as nonlinear dynamic models. An original initialization procedure is presented, that takes the locality of the wavelet functions into account. Results obtained for the modeling of several processes are presented; a comparison with networks of neurons with sigmoidal functions is performed.
Fichier principal
Vignette du fichier
1998onde.pdf (106.21 Ko) Télécharger le fichier
Origin : Files produced by the author(s)
Loading...

Dates and versions

hal-00797616 , version 1 (06-03-2013)

Identifiers

  • HAL Id : hal-00797616 , version 1

Cite

Yacine Oussar, Isabelle Rivals, Léon Personnaz, Gerard Dreyfus. Training Wavelet Networks for Nonlinear Dynamic Input-Output Modeling. Neurocomputing, 1998, 20 (1-3), pp.173-188. ⟨hal-00797616⟩
194 View
725 Download

Share

Gmail Facebook Twitter LinkedIn More