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IJON
1998

Training wavelet networks for nonlinear dynamic input-output modeling

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Training wavelet networks for nonlinear dynamic input-output modeling
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.
Yacine Oussar, Isabelle Rivals, Léon Person
Added 22 Dec 2010
Updated 22 Dec 2010
Type Journal
Year 1998
Where IJON
Authors Yacine Oussar, Isabelle Rivals, Léon Personnaz, Gérard Dreyfus
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