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Volumn 36, Issue 3, 2010, Pages 427-432

Support vector machine based on nodes refined decision directed acyclic graph and its application to fault diagnosis

Author keywords

Decision directed acyclic graph (DDAG); Fault diagnosis; Multi class; Node refined; Support vector machine (SVM)

Indexed keywords

DECISION DIRECTED ACYCLIC GRAPHS; DIAGNOSTIC MODEL; FAULT DATA; FAULT DIAGNOSIS; INTELLIGENT METHOD; LINE DATA; MULTI-CLASS; MULTI-CLASS CLASSIFIER; MULTI-FAULT DIAGNOSIS; MULTICLASS SVM; TRANSFORMER FAULT DIAGNOSIS;

EID: 77951886195     PISSN: 02544156     EISSN: None     Source Type: Journal    
DOI: 10.3724/SP.J.1004.2010.00427     Document Type: Article
Times cited : (15)

References (10)
  • 3
    • 0002343859 scopus 로고    scopus 로고
    • Introduction to statistical learning theory and support vector machines
    • Zhang Xue-Gong. Introduction to statistical learning theory and support vector machines. Acta Automatica Sinica, 2000, 26(1): 32-42.
    • (2000) Acta Automatica Sinica , vol.26 , Issue.1 , pp. 32-42
    • Zhang, X.-G.1
  • 5
    • 0003250435 scopus 로고
    • Single-layer learning revisited: A stepwise procedure for building and training a neural network
    • New York: Springer-Verlag
    • Knerr S, Personnaz L, Dreyfus G. Single-layer learning revisited: a stepwise procedure for building and training a neural network. Neurocomputing: Algorithm, Architectures and Applications. New York: Springer-Verlag, 1990.
    • (1990) Neurocomputing: Algorithm, Architectures and Applications
    • Knerr, S.1    Personnaz, L.2    Dreyfus, G.3


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.