Approximation of continuous functions by RBF and KBF functions
Abstract
We study approximation of continuous functions by networks with kernel basis function (KBF) units based on classical ocnvolution kernels. We derive estimates of the error of approximation as a function of the number of hidden units.
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- Kurkova, Vera
- Hlavackova-Schindler, Katerina
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Shortfacts
Category |
Paper in Conference Proceedings or in Workshop Proceedings (Paper) |
Event Title |
European Symposium on Artificial Neural Networks, Computational Intelligence and Machine Learning 1994 |
Divisions |
Data Mining and Machine Learning |
Subjects |
Kuenstliche Intelligenz |
Event Location |
Brugges, Belgium |
Event Type |
Conference |
Event Dates |
April 1994 |
Series Name |
European Symposium on Artificial Neural Networks |
Page Range |
pp. 167-174 |
Date |
1994 |
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