Fuzzy system identification based on support vector regression and genetic algorithm

International Journal of Modelling, Identification and Control

Volumn 12, Issue 1-2, 2011, Pages 50-55

  Li, Wei ^a   Yang, Yupu ^a   Yang, Zhong ^a   Zhang, Changying ^a  

^a SHANGHAI JIAO TONG UNIVERSITY   (China)

Author keywords

Fuzzy system identification; Genetic algorithm; Positive definite reference function; Support vector regression; SVR

Indexed keywords

FUZZY INFERENCE; FUZZY RULES; FUZZY SYSTEMS; REGRESSION ANALYSIS; RELIGIOUS BUILDINGS; VECTORS;

FUZZY IDENTIFICATION; FUZZY MODELING; GENERALISATION; PARAMETERS SELECTION; POSITIVE DEFINITE; REFERENCE FUNCTIONS; SUPPORT VECTOR; SUPPORT VECTOR REGRESSION (SVR);

GENETIC ALGORITHMS;

EID: 78650901926     PISSN: 17466172     EISSN: 17466180     Source Type: Journal    
DOI: 10.1504/IJMIC.2011.037829     Document Type: Article

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