The DOI matches its Crossref record; 2 of the 2 references it cites were found in a registry or an index.
Using wavelet network in nonparametric estimation
Open accessAbstract
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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Cites
Multilayer feedforward networks are universal approximators
Hornik, K., Stinchcombe, M., & White, H. (1989) · Neural Networks · doi:10.1016/0893-6080(89)90020-8 · Cited by 21,728
Approximation by superpositions of a sigmoidal function
Cybenko, G. (1989) · Mathematics of Control, Signals, and Systems · doi:10.1007/bf02551274 · Cited by 13,883
Cited by
An Adaptive Wavelet Neural Network-Based Energy Price Forecasting in Electricity Markets
Pindoriya, N. M., Singh, S. N., & Singh, S. K. (2008) · IEEE Transactions on Power Systems · doi:10.1109/tpwrs.2008.922251 · Cited by 305
Wavelet neural networks: A practical guide
Alexandridis, A. K., & Zapranis, A. D. (2013) · Neural Networks · doi:10.1016/j.neunet.2013.01.008 · Cited by 277
Chauhan, N., Ravi, V., & Karthik Chandra, D. (2009) · Expert Systems with Applications · doi:10.1016/j.eswa.2008.09.019 · Cited by 180
Metadata
- Authors
- Zhang, Q.
- Venue
- IEEE Transactions on Neural Networks
- Published
- 1997-03
- Volume
- 8
- Issue
- 2
- Pages
- 227-236
- ISSN
- 1045-9227 (ISSN-L)
- 1941-0093
- OpenAlex
- W2137226063
- Cited by
- 727
- References
- 2
- FWCI
- 16.17
- Type
- journal article
- Language
- en
- Open access
- green
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- Zhang, Q. (1997). Using wavelet network in nonparametric estimation. IEEE Transactions on Neural Networks. https://doi.org/10.1109/72.557660
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