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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| 格式: | Article |
| 語言: | English |
| 出版: |
Penerbit UTM Press
2002
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| 在線閱讀: | http://eprints.utm.my/1301/1/JT36A4.pdf |