Minimising uncertainty in long-term prediction of bridge element

Engineering, Construction and Architectural Management

Volumn 20, Issue 2, 2013, Pages 127-142

  Lee, Jaeho ^a   Blumenstein, Michael ^a   Guan, Hong ^a   Loo, Yew Chaye ^a  

^a GRIFFITH UNIVERSITY   (Australia)

Author keywords

Assets management; Bridges; Condition monitoring; Modelling; Neural nets; Performance; Prediction

Indexed keywords

ASSETS MANAGEMENT; BRIDGE DETERIORATION; BRIDGE ELEMENTS; BRIDGE INSPECTION; BRIDGE MANAGEMENT SYSTEM; BRIDGE PERFORMANCE; CONDITION STATE; CRITICAL FAILURES; DESIGN/METHODOLOGY/APPROACH; DETERIORATION MODELS; INSPECTION RECORDS; LARGE DATASETS; LONG-TERM PREDICTION; PERFORMANCE; PREDICTION MODEL; PRELIMINARY STUDIES; SHORT PERIODS; TIME DELAY NEURAL NETWORKS; TIME-PERIODS;

BRIDGES; CONDITION MONITORING; DETERIORATION; INSPECTION; MODELS; NEURAL NETWORKS;

FORECASTING;

EID: 84874371192     PISSN: 09699988     EISSN: None     Source Type: Journal    
DOI: 10.1108/09699981311303008     Document Type: Article

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