Using Wavelet Network in Nonparametric Estimation

Qinghua Zhang 1
1 AS - Signal Processing and Control
IRISA - Institut de Recherche en Informatique et Systèmes Aléatoires, INRIA Rennes
Abstract : In this paper one approach is proposed for using wavelets in non parametric regression estimation. The proposed non parametric estimator, named wavelet network, has a neural network like structure, but consists of wavelets. It makes use of techniques of regressor selection completed with backpropagation procedures. It is capable of handling nonlinear regressions of moderately large input dimensio with sparse training data. Numerical examples are reported to illustrate the performance of this proposed approach.
Type de document :
[Research Report] RR-2321, INRIA. 1994
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Soumis le : mercredi 24 mai 2006 - 15:08:16
Dernière modification le : mercredi 16 mai 2018 - 11:23:13
Document(s) archivé(s) le : lundi 5 avril 2010 - 00:08:47



  • HAL Id : inria-00074353, version 1


Qinghua Zhang. Using Wavelet Network in Nonparametric Estimation. [Research Report] RR-2321, INRIA. 1994. 〈inria-00074353〉



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