Effects of user selected conditions on modeling of dynamic systems using adaptive fuzzy model
In this paper, major properties of an adaptive fuzzy model as a system identifier when trained by the back-propagation algorithm are discussed. The standard rule-based fuzzy models were used to identify discrete-time nonlinear dynamic systems. The method of selection of the input variables, the numb...
| Main Authors: | , |
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| Format: | Article |
| Language: | English |
| Published: |
Penerbit UTM Press
2001
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| Online Access: | http://eprints.utm.my/842/1/JT34A4.pdf |