Training wavelet networks for nonlinear dynamic input-output modeling
نویسندگان
چکیده
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.
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ورودعنوان ژورنال:
- Neurocomputing
دوره 20 شماره
صفحات -
تاریخ انتشار 1998