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Volumn 17, Issue 6, 2008, Pages 758-772

Improving the reliability of a Bridge Management System (BMS) using an ANN-based Backward Prediction Model (BPM)

Author keywords

Artificial Neural Network (ANN); Backward Prediction Model (BPM); Bridge Condition Ratings; Bridge Management System (BMS)

Indexed keywords

CLIMATE CONTROL; DATABASE SYSTEMS; INSPECTION; MATHEMATICAL MODELS; NEURAL NETWORKS;

EID: 41749086209     PISSN: 09265805     EISSN: None     Source Type: Journal    
DOI: 10.1016/j.autcon.2008.02.008     Document Type: Article
Times cited : (69)

References (15)
  • 2
    • 0001907920 scopus 로고
    • Optimal infrastructure management decisions under uncertainty
    • Madanat S. Optimal infrastructure management decisions under uncertainty. Transportation Research Part C. 1 (1993) 77-88
    • (1993) Transportation Research Part C. , vol.1 , pp. 77-88
    • Madanat, S.1
  • 4
    • 41749116936 scopus 로고    scopus 로고
    • Review of existing BMS and definition of inputs for the proposed BMS
    • Godart B., and Vassie P.R. Review of existing BMS and definition of inputs for the proposed BMS. Deliverable D4: BRIME Report (1999)
    • (1999) Deliverable D4: BRIME Report
    • Godart, B.1    Vassie, P.R.2
  • 11
    • 41749084723 scopus 로고    scopus 로고
    • Federal Highway Administration, Element Level Bridge Inspection (Bridge Management and Inspection Technologies), FHWA-RC-BAL-04-0015, Washington DC (2006).
    • Federal Highway Administration, Element Level Bridge Inspection (Bridge Management and Inspection Technologies), FHWA-RC-BAL-04-0015, Washington DC (2006).
  • 15
    • 41749084038 scopus 로고    scopus 로고
    • Road and Traffic Authority of New South Wales, RTA Bridge Inspection Procedure, RTA NSW (1999).
    • Road and Traffic Authority of New South Wales, RTA Bridge Inspection Procedure, RTA NSW (1999).


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.