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Volumn 53, Issue 4, 2010, Pages 1088-1097

Multivariate analysis in dam monitoring data with PCA

Author keywords

Dam safety monitoring; Data reduction; Multivariate response variables; Principal component analysis

Indexed keywords

MICROCOMPUTERS; MONITORING; MULTIVARIANT ANALYSIS; PRINCIPAL COMPONENT ANALYSIS; REGRESSION ANALYSIS;

EID: 77953619358     PISSN: 16747321     EISSN: 18691900     Source Type: Journal    
DOI: 10.1007/s11431-010-0060-1     Document Type: Article
Times cited : (73)

References (11)
  • 1
    • 85040852501 scopus 로고
    • National Research Council. Washington D.C.: National Academy Press
    • National Research Council. Safety of Existing Dams Evaluation and Improvement. Washington D.C.: National Academy Press, 1983. 4-40
    • (1983) Safety of Existing Dams Evaluation and Improvement , pp. 4-40
  • 2
    • 77955754572 scopus 로고
    • SDJ336-89. Department of Energy and Water of the People's Republic of China
    • SDJ336-89. Concrete Dam Safety Monitoring Specifications (in Chinese). Department of Energy and Water of the People's Republic of China, 1990. 1255-1256
    • (1990) Concrete Dam Safety Monitoring Specifications (in Chinese) , pp. 1255-1256
  • 6
    • 77951184788 scopus 로고    scopus 로고
    • Application of principal component fuzzy neural network model to analysis of observation data of dams (in Chinese)
    • Li X H, Xu H Z, Gu C S, et al. Application of principal component fuzzy neural network model to analysis of observation data of dams (in Chinese). Dam Obs Geotech Test, 2001. 14-16
    • (2001) Dam Obs Geotech Test , pp. 14-16
    • Li, X.H.1    Xu, H.Z.2    Gu, C.S.3


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.