Application of Bayesian-designed artificial neural networks in phase ii structural health monitoring benchmark studies

Australian Journal of Structural Engineering

Volumn 15, Issue 1, 2014, Pages 27-36

  Ng, Ching Tai ^a  

^a UNIVERSITY OF ADELAIDE   (Australia)

Author keywords

Artif cial neural network; Bayesian model class selection method; Damage detection; Pattern recognition; Shm benchmark structure; Structural health monitoring

Indexed keywords

ANN MODELING; BAYESIAN MODEL; BENCHMARK STRUCTURE; BENCHMARK STUDY; CLASS SELECTIONS; HIDDEN LAYERS; MODAL PARAMETERS; PATTERN FEATURES;

BAYESIAN NETWORKS; BENCHMARKING; DAMAGE DETECTION; MODAL ANALYSIS; NEURAL NETWORKS; PATTERN RECOGNITION; STRUCTURAL DESIGN;

STRUCTURAL HEALTH MONITORING;

EID: 84893578580     PISSN: 13287982     EISSN: None     Source Type: Journal    
DOI: 10.7158/S12-042.2014.15.1     Document Type: Article

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