Effects of user selected conditions on modeling of dynamic systems using adaptive fuzzy model

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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...

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Bibliographic Details
Main Authors:	Yaacob, Mohd. Shafiek, Jamaluddin, Hishamuddin
Format:	Article
Language:	English
Published:	Penerbit UTM Press 2001
Online Access:	http://eprints.utm.my/842/ http://eprints.utm.my/842/1/JT34A4.pdf

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