Bayesian neural networks for bridge integrity assessment

Structural Control and Health Monitoring

Volumn 19, Issue 1, 2012, Pages 3-21

  Arangio, S ^a   Beck, J L ^b  

^a SAPIENZA UNIVERSITY OF ROME   (Italy)

^b California Institute of Technology   (United States)

Author keywords

automatic relevance determination; Bayesian neural networks; damage identification; integrity assessment; long span bridges; model selection; probability logic approach

Indexed keywords

AUTOMATIC RELEVANCE DETERMINATION; BAYESIAN NEURAL NETWORKS; DAMAGE IDENTIFICATION; INTEGRITY ASSESSMENT; LONG-SPAN BRIDGE; MODEL SELECTION; PROBABILITY LOGIC APPROACH;

BAYESIAN NETWORKS; CIVIL ENGINEERING; INFERENCE ENGINES; NEURAL NETWORKS; PROBABILISTIC LOGICS; RATING; SUSPENSION BRIDGES;

DAMAGE DETECTION;

EID: 84857012806     PISSN: 15452255     EISSN: 15452263     Source Type: Journal    
DOI: 10.1002/stc.420     Document Type: Article

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