Support vector learning mechanism for fuzzy rule-based modeling a new approach.

Support vector learning mechanism for fuzzy rule-based modeling a new approach.

This paper describes a fuzzy modeling framework based on support vector machine, a rule-based framework that explicitly characterizes the representation in fuzzy inference procedure. The support vector learning mechanism provides an architecture to extract support vectors for generating fuzzy IF-THE...

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Bibliografiska uppgifter
I publikationen:IEEE Transactions on fuzzy systems 12, 1 (2004).
Huvudupphovsman: Jung-Hsien Chiang
Materialtyp: Artikel
Språk:English
Ämnen:
Ball and beam problem.
Fuzzy IF-THEN rules.
Fuzzy basis functions.
Fuzzy inference representation.
Fuzzy rule-based modeling.
Kernel functions.
Pattern classification.
Regression problem.
Support vector learning mechanism.
Training data set.