Hybrid kernel learning via genetic optimization for TS fuzzy system identification

International Journal of Adaptive Control and Signal Processing

Volumn 24, Issue 1, 2010, Pages 12-19

  Li, Wei ^a   Yang, Yupu ^a  

^a SHANGHAI JIAO TONG UNIVERSITY   (China)

Author keywords

Fuzzy system identification; Genetic algorithm; Hybrid kernel function; Support vector regression

Indexed keywords

CONCISE MODEL; FUZZY MODELS; GENERALIZATION CAPABILITY; GENETIC OPTIMIZATION; HYBRID KERNEL FUNCTIONS; IMPROVED GENETIC ALGORITHMS; KERNEL LEARNING; LEAST SQUARE METHODS; PARAMETER SELECTION; SEARCH PROCESS; SIMULATION RESULT; SPEED-UPS; STRUCTURE IDENTIFICATION; SUPPORT VECTOR; SUPPORT VECTOR REGRESSION; SUPPORT VECTOR REGRESSIONS; T S FUZZY SYSTEM;

FUZZY SYSTEMS; GENETIC ALGORITHMS; IDENTIFICATION (CONTROL SYSTEMS); LEARNING ALGORITHMS; MODEL STRUCTURES; REGRESSION ANALYSIS; VECTORS;

FUZZY LOGIC;

EID: 73849134036     PISSN: 08906327     EISSN: 10991115     Source Type: Journal    
DOI: 10.1002/acs.1089     Document Type: Article

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