메뉴 건너뛰기




Volumn 4, Issue , 2010, Pages

Analog circuit fault diagnosis based on fuzzy support vector machine and kernel density estimation

Author keywords

Analog circuit; Fault diagnosis; Fuzzy support vector machine; Kernel density function; Statistical characteristics

Indexed keywords


EID: 78149290711     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1109/ICACTE.2010.5579303     Document Type: Conference Paper
Times cited : (18)

References (10)
  • 2
    • 0036158636 scopus 로고    scopus 로고
    • Feasible direction decomposition algorithms for training support vector machines [J]
    • LASKOV P. Feasible direction decomposition algorithms for training support vector machines [J].Machine Learning, 2002, 46(1):315-349.
    • (2002) Machine Learning , vol.46 , Issue.1 , pp. 315-349
    • Laskov, P.1
  • 4
    • 38049072289 scopus 로고    scopus 로고
    • A novel fault diagnosis of analog circuit algorithm based on incomplete wavelet packet transform and improved balanced binary-tree SVMs[J]
    • WANG A,LIU J.A novel fault diagnosis of analog circuit algorithm based on incomplete wavelet packet transform and improved balanced binary-tree SVMs[J]. Bio-Inspired Computational Intelligence and Applications,2007,482-493.
    • (2007) Bio-Inspired Computational Intelligence and Applications , pp. 482-493
    • Wang, A.1    Liu, J.2
  • 5
    • 46949112091 scopus 로고    scopus 로고
    • Fault diagnosis method for analog circuit based on testability analysis and support vector machine[J]
    • SUN Y K,CHEN G J,LI H.Fault diagnosis method for analog circuit based on testability analysis and support vector machine[J].Chinese Journal of Scientific Instrument,2008,29(6): 1 182- 1 186.
    • (2008) Chinese Journal of Scientific Instrument , vol.29 , Issue.6 , pp. 1182-1186
    • Sun, Y.K.1    Chen, G.J.2    Li, H.3
  • 8
    • 0036161029 scopus 로고    scopus 로고
    • Support vector machines for classification in nonstandard situations
    • DOI 10.1023/A:1012406528296
    • LIN Y,IEE Y,W AHBA G.Support vector machines for classification in nonstandard situations[J].Machine Leaming,2002,46: 191-202. (Pubitemid 34129968)
    • (2002) Machine Learning , vol.46 , Issue.1-3 , pp. 191-202
    • Lin, Y.1    Lee, Y.2    Wahba, G.3
  • 9
    • 22344440204 scopus 로고    scopus 로고
    • Fuzzy support vector machines for pattern recognition and data mining[J]
    • HUANG H P,LIU Y HFuzzy support vector machines for pattern recognition and data mining[J].International Journal of Fuzzy Systems,2002,4(3):826-835.
    • (2002) International Journal of Fuzzy Systems , vol.4 , Issue.3 , pp. 826-835
    • Huang, H.P.1    Liu, Y.H.2


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.