Using wavelet network in nonparametric estimation

  • Authors:
  • Qinghua Zhang

  • Affiliations:
  • IRISA, Rennes

  • Venue:
  • IEEE Transactions on Neural Networks
  • Year:
  • 1997

Quantified Score

Hi-index 0.01

Visualization

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