Fuzzy fault diagnosis based on fuzzy robust ν-support vector classifier and modified genetic algorithm

Expert Systems with Applications

Volumn 38, Issue 5, 2011, Pages 4882-4888

  Wu, Qi ^a,b  

^a SOUTHEAST UNIVERSITY   (China)

^b HONG KONG POLYTECHNIC UNIVERSITY   (Hong Kong)

Author keywords

Fault diagnosis; Fuzzy v support vector classifier machine; Genetic algorithm; Hybrid noises; Triangular fuzzy number

Indexed keywords

CAR ASSEMBLY; FAULT DIAGNOSIS; FORECASTING PROBLEMS; FUZZY COMPREHENSIVE EVALUATION; FUZZY NONLINEAR SYSTEMS; FUZZY NUMBERS; FUZZY SUPPORT; FUZZY THEORY; FUZZY V-SUPPORT VECTOR CLASSIFIER MACHINE; GAUSSIAN NOISE; HYBRID NOISES; INPUT VARIABLES; LOSS FUNCTIONS; MODIFIED GENETIC ALGORITHMS; OPTIMAL PARAMETER; SINGULARITY POINT; SMALL SAMPLES; SUPPORT VECTOR CLASSIFIERS; TRIANGULAR FUZZY NUMBERS; UNCERTAIN DATAS; UNKNOWN PARAMETERS;

CLASSIFIERS; FUZZY LOGIC; FUZZY RULES; FUZZY SET THEORY; FUZZY SETS; OPTIMIZATION; VECTORS;

GENETIC ALGORITHMS;

EID: 79151481501     PISSN: 09574174     EISSN: None     Source Type: Journal    
DOI: 10.1016/j.eswa.2010.09.101     Document Type: Article

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