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Contents:
Volume 1, Supplement A; April, 2003

System Identification and Optimal Prediction of Bridges by Neural Network

卜君平 陳弘仁
逢甲大學土木系
 

Abstract -- Focused on the Hoko Bridge located at I-Lan , the structural response was trained and learned by neural network algorithm in this study. The optimal model under seismic excitation was identified. Based on the optimal network model, the time-varying characteristics of the bridge was derived through the recurrence relationship in back propagation neural networks.


Key words- Neural Network; Weight; Bias; Back Propagation; Recurrence Relationship

 

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