DocumentCode
1327605
Title
Using wavelet network in nonparametric estimation
Author
Zhang, Qinghua
Author_Institution
IRISA, Rennes, France
Volume
8
Issue
2
fYear
1997
fDate
3/1/1997 12:00:00 AM
Firstpage
227
Lastpage
236
Abstract
Wavelet networks are a class of neural networks consisting of wavelets. In this paper, algorithms for wavelet network construction are proposed for the purpose of nonparametric regression estimation. Particular attentions are paid to sparse training data so that problems of large dimension can be better handled. A numerical example on nonlinear system identification is presented for illustration
Keywords
identification; neural nets; statistical analysis; wavelet transforms; neural networks; nonlinear system identification; nonparametric regression estimation; sparse training data; wavelet network construction; Artificial neural networks; Discrete wavelet transforms; Feedforward neural networks; Intelligent networks; Neural networks; Nonlinear systems; Signal processing algorithms; System identification; Training data; Wavelet analysis;
fLanguage
English
Journal_Title
Neural Networks, IEEE Transactions on
Publisher
ieee
ISSN
1045-9227
Type
jour
DOI
10.1109/72.557660
Filename
557660
Link To Document