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14

ICIC
2007
Springer

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Fuzzy Modeling Via On-Line Clustering and Support Vector Machine

13 years 11 months ago

Fuzzy Modeling Via On-Line Clustering and Support Vector Machine

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Abstract. This paper describes a novel fuzzy rule-based modeling approach for some slow industrial processses. Structure identiﬁcation is realized by clustering and support vector machines. When the process is slow, fuzzy rules can be obtained automatically. Parameters identiﬁcation uses the techniques of fuzzy neural networks. A time-varying learning rate assures stability of the modeling error.

Julio César Tovar, Wen Yu, Xiaoou Li

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Fuzzy Neural Networks | Fuzzy Rule-based Modeling | ICIC 2007 | Slow Industrial Processses |

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Added	08 Jun 2010
Updated	08 Jun 2010
Type	Conference
Year	2007
Where	ICIC
Authors	Julio César Tovar, Wen Yu, Xiaoou Li

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