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Approximation and Radial-Basis-Function Networks
Abstract
This paper concerns conditions for the approximation of functions in certain general spaces using radial-basis-function networks. It has been shown in recent papers that certain classes of radial-basis-function networks are broad enough for universal approximation. In this paper these results are considerably extended and sharpened.
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Cites
Approximation by superpositions of a sigmoidal function
Cybenko, G. (1989) · Mathematics of Control, Signals, and Systems · doi:10.1007/bf02551274 · Cited by 13,883
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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
Machine learning methods for better water quality prediction
Najah Ahmed, A., Binti Othman, F., Abdulmohsin Afan, H., Khaleel Ibrahim, R., Ming Fai, C., Shabbir Hossain, M., Ehteram, M., & Elshafie, A. (2019) · Journal of Hydrology · doi:10.1016/j.jhydrol.2019.124084 · Cited by 686
How effective is the Grey Wolf optimizer in training multi-layer perceptrons
Mirjalili, S. (2015) · Applied Intelligence · doi:10.1007/s10489-014-0645-7 · Cited by 677
Shahmansouri, A. A., Yazdani, M., Ghanbari, S., Akbarzadeh Bengar, H., Jafari, A., & Farrokh Ghatte, H. (2021) · Journal of Cleaner Production · doi:10.1016/j.jclepro.2020.123697 · Cited by 353
Biomimetic tactile sensor array
Wettels, N., Santos, V. J., Johansson, R. S., & Loeb, G. E. (2008) · Advanced Robotics · doi:10.1163/156855308x314533 · Cited by 348
Metadata
- Authors
- Park, J., & Sandberg, I. W.
- Venue
- Neural Computation
- Publisher
- MIT Press - Journals
- Published
- 1993-03
- Volume
- 5
- Issue
- 2
- Pages
- 305-316
- ISSN
- 0899-7667 (ISSN-L)
- 1530-888X
- OpenAlex
- W2047161049
- Cited by
- 816
- References
- 1
- FWCI
- 15.31
- Type
- journal article
- Language
- en
- Open access
- closed
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- Park, J., & Sandberg, I. W. (1993). Approximation and Radial-Basis-Function Networks. Neural Computation. https://doi.org/10.1162/neco.1993.5.2.305
Data sources
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.
