Some issues in system identification using clustering

This article surveys the use of clustering for identification of various parameters of fuzzy systems. Issues discussed include the proper domain for clustering, the clustering algorithm used, validation of clusters, and system validation.

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Bibliographic Details
Published in1997 IEEE International Conference on Neural Networks Vol. 4; pp. 2524 - 2529 vol.4
Main Authors Nikhil, R., Kuhu Pal, Bezdek, J.C., Runkler, T.A.
Format Conference Proceeding
LanguageEnglish
Published IEEE 1997
Subjects
Data mining
Fuzzy reasoning
Fuzzy systems
Input variables
Parameter estimation
System identification
System testing
Online AccessGet full text
ISBN0780341228
9780780341227
DOI10.1109/ICNN.1997.614689

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Summary:This article surveys the use of clustering for identification of various parameters of fuzzy systems. Issues discussed include the proper domain for clustering, the clustering algorithm used, validation of clusters, and system validation.
ISBN:0780341228
9780780341227
DOI:10.1109/ICNN.1997.614689