Study on correlations of modal frequencies and environmental factors for a suspension bridge based on improved neural networks

Science China Technological Sciences

Volumn 53, Issue 9, 2010, Pages 2501-2509

  Ding, Youliang ^a   Deng, Yang ^a   Li, Aiqun ^a  

^a Southeast University   (China)

Author keywords

artificial neural networks; correlation; environmental condition; hypothesis test; modal frequency; suspension bridge

Indexed keywords

BACKPROPAGATION; CORRELATION METHODS; SUSPENSION BRIDGES;

BAYESIAN REGULARIZATION; ENVIRONMENTAL CONDITIONS; ENVIRONMENTAL VARIABILITY; GENERALIZATION CAPABILITY; HYPOTHESIS TESTS; IMPROVED BACK PROPAGATION NEURAL NETWORK; LONG-TERM MONITORING DATUM; MODAL FREQUENCY;

NEURAL NETWORKS;

EID: 77955504831     PISSN: 16747321     EISSN: 18691900     Source Type: Journal    
DOI: 10.1007/s11431-010-4056-7     Document Type: Article

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