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Volumn 33, Issue 2, 2007, Pages 274-285

Identification of contributing variables using kernel-based discriminant modeling and reconstruction

Author keywords

Contribution chart; Fault identification; Kernel Fisher discriminant analysis (KFDA); Nonlinear feature extraction; Principal component analysis (PCA); Reconstruction

Indexed keywords

ENGINEERS; FEATURE EXTRACTION; MATHEMATICAL MODELS; PRINCIPAL COMPONENT ANALYSIS;

EID: 33846432352     PISSN: 09574174     EISSN: None     Source Type: Journal    
DOI: 10.1016/j.eswa.2006.05.010     Document Type: Article
Times cited : (28)

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* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.