Using wavelet network in nonparametric estimation
Q Zhang - IEEE Transactions on Neural networks, 1997 - ieeexplore.ieee.org
IEEE Transactions on Neural networks, 1997•ieeexplore.ieee.org
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.
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.
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.
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