Comparison of Hybrid Methods with Different Meta Model Used in Bridge Model-Updating

Two hybrid model updating methods by integration of Gaussian mutation particle swarm optimization method, Latin Hypercube Sampling technique and meta models of Kriging and Back-Propagation Neural Network respectively were proposed, and the methods make the convergence speed of the model updating pro...

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Bibliographic Details

Published in:	The Baltic Journal of Road and Bridge Engineering
Main Authors:	Zhiyuan Xia, Aiqun Li, Jianhui Li, Maojun Duan
Format:	Article
Language:	English
Published:	Riga Technical University Press 2017-09-01
Subjects:	back-propagation neural network meta model gaussian mutation kriging meta model latin hypercube sampling model updating particle swarm optimization self-anchored suspension bridge.
Online Access:	https://bjrbe-journals.rtu.lv/article/view/3265