A new fuzzy identification approach using support vector regression and particle swarm optimization algorithm

2009 Second ISECS International Colloquium on Computing, Communication, Control, and Management, CCCM 2009

Volumn 1, Issue , 2009, Pages 86-90

  Tian, WenJie ^a   Tian, Yue ^b  

^a BEIJING UNION UNIVERSITY   (China)

^b CAPITAL UNIVERSITY OF ECONOMICS AND BUSINESS   (China)

Author keywords

Fuzzy system identification; Particle swarm optimization algorithm; Positive definite reference function; Support vector regression

Indexed keywords

PARTICLE SWARM OPTIMIZATION ALGORITHM; POSITIVE DEFINITE; REFERENCE FUNCTIONS; SUPPORT VECTOR REGRESSIONS;

ALGORITHMS; COMPUTER SCIENCE; FUZZY LOGIC; FUZZY RULES; FUZZY SYSTEMS; IDENTIFICATION (CONTROL SYSTEMS); REGRESSION ANALYSIS; SIMULATORS; VECTORS;

PARTICLE SWARM OPTIMIZATION (PSO);

EID: 70449726803     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1109/CCCM.2009.5268143     Document Type: Conference Paper

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