The DOI matches its Crossref record; 3 of the 3 references it cites were found in a registry or an index.
Wavelet networks
Abstract
A wavelet network concept, which is based on wavelet transform theory, is proposed as an alternative to feedforward neural networks for approximating arbitrary nonlinear functions. The basic idea is to replace the neurons by ;wavelons', i.e., computing units obtained by cascading an affine transform and a multidimensional wavelet. Then these affine transforms and the synaptic weights must be identified from possibly noise corrupted input/output data. An algorithm of backpropagation type is proposed for wavelet network training, and experimental results are reported.
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Citations
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
The wavelet transform, time-frequency localization and signal analysis
Daubechies, I. (1990) · IEEE Transactions on Information Theory · doi:10.1109/18.57199 · Cited by 6,483
Cited by
Forecasting with artificial neural networks:
Zhang, G., Eddy Patuwo, B., & Y. Hu, M. (1998) · International Journal of Forecasting · doi:10.1016/s0169-2070(97)00044-7 · Cited by 4,229
A review on Gabor wavelets for face recognition
Shen, L., & Bai, L. (2006) · Pattern Analysis and Applications · doi:10.1007/s10044-006-0033-y · Cited by 462
Dheeba, J., Albert Singh, N., & Tamil Selvi, S. (2014) · Journal of Biomedical Informatics · doi:10.1016/j.jbi.2014.01.010 · Cited by 380
EEMD method and WNN for fault diagnosis of locomotive roller bearings
Lei, Y., He, Z., & Zi, Y. (2011) · Expert Systems with Applications · doi:10.1016/j.eswa.2010.12.095 · Cited by 316
Miglani, A., & Kumar, N. (2019) · Vehicular Communications · doi:10.1016/j.vehcom.2019.100184 · Cited by 295
Metadata
- Authors
- Zhang, Q., & Benveniste, A.
- Venue
- IEEE Transactions on Neural Networks
- Published
- 1992
- Volume
- 3
- Issue
- 6
- Pages
- 889-898
- ISSN
- 1045-9227 (ISSN-L)
- OpenAlex
- W2293747114
- Cited by
- 2,091
- References
- 3
- FWCI
- 17.44
- Type
- journal article
- Language
- en
- Open access
- closed
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Bibliographic data: Semantic Scholar, OpenAlex, Crossref.
Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).
Semantic Scholar’s data is described in: Kinney, R., et al. (2023). The Semantic Scholar Open Data Platform. arXiv:2301.10140.
