Work

Using wavelet network in nonparametric estimation

Year: 1997

Type: article

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.

Source: IEEE Transactions on Neural Networks

DOI: 10.1109/72.557660

Author: Qinghua Zhang

Institution: Institut de Recherche en Informatique et Systèmes Aléatoires

Language: English

Topic: Neural Networks and Applications

Subfield: Artificial Intelligence

Field: Computer Science

Domain: Physical Sciences

Open Access status: green

OpenAlex ID: W2137226063

FWCI: 12.68

Cites: 42

Cited by: 735

Related to: 10