DocumentCode
1720755
Title
Using wavelets in nonparametric estimation
Author
Zhang, Qinghua
Author_Institution
IRISA, Rennes, France
Volume
4
fYear
1994
Firstpage
3406
Abstract
One approach is proposed of using wavelets in nonparametric estimation. The proposed nonparametric estimator, named wavelet network, makes use of techniques of regressor selection completed with backpropagation procedures. It is capable of handling nonlinear regressions of moderately large input dimension with sparse training data
Keywords
backpropagation; estimation theory; neural nets; nonparametric statistics; statistical analysis; wavelet transforms; backpropagation; neural network; nonlinear regressions; nonparametric regression estimation; regressor selection; wavelet network; Algorithm design and analysis; Continuous wavelet transforms; Discrete wavelet transforms; Feedforward neural networks; Intelligent networks; Linear regression; Neural networks; Numerical analysis; Training data; Wavelet analysis;
fLanguage
English
Publisher
ieee
Conference_Titel
Decision and Control, 1994., Proceedings of the 33rd IEEE Conference on
Conference_Location
Lake Buena Vista, FL
Print_ISBN
0-7803-1968-0
Type
conf
DOI
10.1109/CDC.1994.411671
Filename
411671
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