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Volumn , Issue , 2010, Pages 40-43

Intelligent diagnosis techniques in automotive engines fault based on fuzzy support vector machine

Author keywords

Fault diagnosis; Fuzzy support vector machine; Gasoline engine

Indexed keywords

AUTOMOTIVE ENGINE; FAULT DATA; FAULT DIAGNOSIS; FAULT REASONING; FAULT-BASED; FUZZY SUPPORT VECTOR MACHINES; GASOLINE ENGINES; INTELLIGENT DIAGNOSIS; SAMPLE SETS;

EID: 77954410527     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1109/APWCS.2010.17     Document Type: Conference Paper
Times cited : (2)

References (6)
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  • 2
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    • Glasmachers, T.1    Igel, C.2
  • 6
    • 36849082989 scopus 로고    scopus 로고
    • Feature selection via sensitivity analysis of SVM probabilistic outputs
    • January
    • K. Q. Shen , C.J. Ong , Xiao-Ping Li , E. P. Wilder-Smith, "Feature selection via sensitivity analysis of SVM probabilistic outputs" , Machine Learning, January 2008,v.70 n.1, pp.1-20.
    • (2008) Machine Learning , vol.70 , Issue.1 , pp. 1-20
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* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.