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Volumn , Issue , 2007, Pages 2529-2534

An improvement algorithm of principal component analysis

Author keywords

Multi step; Neural networks; Pattern recognition; PCA; Principal component analysis (PCA)

Indexed keywords

ARTIFICIAL INTELLIGENCE; BOOLEAN FUNCTIONS; CLASSIFICATION (OF INFORMATION); COMPUTER NETWORKS; DATA REDUCTION; FINANCIAL DATA PROCESSING;

EID: 51349169152     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1109/ICEMI.2007.4350734     Document Type: Conference Paper
Times cited : (10)

References (5)
  • 1
    • 51349135832 scopus 로고    scopus 로고
    • Lori H, et. A New Multivariate Statistical Process Monitoring Method Using Pprincipal Ccomponent Aanalysis
    • Manabu K, Shinij H.Lori H, et. A New Multivariate Statistical Process Monitoring Method Using Pprincipal Ccomponent Aanalysis. Computers and Chemical Engineering. Vol. 25:103-1113, 2001.
    • (2001) Computers and Chemical Engineering , vol.25 , pp. 103-1113
    • Manabu, K.1    Shinij, H.2
  • 2
    • 0029264336 scopus 로고
    • Predictive Maintenance Using PCA
    • Lewin D R. Predictive Maintenance Using PCA . Control Engineering Practice. Vol. 3: 431-421, 1995.
    • (1995) Control Engineering Practice , vol.3 , pp. 431-421
    • Lewin, D.R.1
  • 3
    • 0026954958 scopus 로고
    • Principal Component Analysis, Minor Components, and Llinear Neural Networks
    • Oja,E. Principal Component Analysis, Minor Components, and Llinear Neural Networks. Neural Networks. Vol. 5:27-936, 1992.
    • (1992) Neural Networks , vol.5 , pp. 27-936
    • Oja, E.1


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.