Title :
Using wavelets in nonparametric estimation
Author_Institution :
IRISA, Rennes, France
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;
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
DOI :
10.1109/CDC.1994.411671
