Radial basis function (RBF) for non-linear dynamic system identification
One of the key problem in system identification is finding a suitable model structure. In this paper, radial basis function (RBF) network using various basis functions are trained to represent discrete-time nonlinear dynamic systems and the results are compared. The orthogonal least squarealgorithm...
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| Main Authors: | , |
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| 格式: | Article |
| 语言: | English |
| 出版: |
Penerbit UTM Press
2002
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| 主题: | |
| 在线阅读: | http://eprints.utm.my/id/eprint/1301/1/JT36A4.pdf http://eprints.utm.my/id/eprint/1301/ http://www.penerbit.utm.my/onlinejournal/36/A/JT36A4.pdf |
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