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...

Täydet tiedot

Bibliografiset tiedot

Julkaisussa:	IEEE Transactions on fuzzy systems 12, 1 (2004).
Päätekijä:	Jung-Hsien Chiang
Aineistotyyppi:	Artikkeli
Kieli:	English
Aiheet:	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.