Title :
Using wavelet network in nonparametric estimation
Author_Institution :
IRISA, Rennes, France
fDate :
3/1/1997 12:00:00 AM
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;
Journal_Title :
Neural Networks, IEEE Transactions on
