Skip to Main content Skip to Navigation
Reports

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.
Document type :
Reports
Complete list of metadata

https://hal.inria.fr/inria-00074353
Contributor : Rapport de Recherche Inria <>
Submitted on : Wednesday, May 24, 2006 - 3:08:16 PM
Last modification on : Thursday, February 11, 2021 - 2:48:05 PM
Long-term archiving on: : Monday, April 5, 2010 - 12:08:47 AM

Identifiers

  • HAL Id : inria-00074353, version 1

Citation

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

Share

Metrics

Record views

633

Files downloads

1910