articleTop 1% cited

Using wavelet network in nonparametric estimation

IEEE Transactions on Neural Networks · 1997 · Vol. 8(2) · pp. 227–236

Qinghua Zhang✉(Institut de Recherche en Informatique et Systèmes Aléatoires)

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.

Neural Networks and Applications Image and Signal Denoising Methods Fault Detection and Control SystemsWaveletNonparametric statisticsComputer scienceDimension (graph theory)Artificial neural networkArtificial intelligencePattern recognition (psychology)Class (philosophy)Identification (biology)Nonparametric regression

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Nonlinear black-box modeling in system identification: a unified overview