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《Journal of Earthquake Engineering and Engineering Vibration》 2008-01
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The application of genetic algorithms and BP neural network to seismic damage prediction of bridges

LIU Chunguang,ZHANG Lihua(1.State Key Laboratory of Coastal and Offshore Engineering,Dalian University of Technology,Dalian 116024,China;2.School of Civil and Hydraulic Engineering,Dalian University of Technology,Dalian 116024,China)  
The paper presents an effective method for predicting the seismic damage to bridges.To avoid the BP algorithm′s shortcoming of trapping in a local optimum and to take advantage of the genetic algorithm′s globe optimal searching,a new kind of hybrid algorithm was formed based on GA and BP in this paper.First,the initialized weights and threshold of BP neural network was optimized with GA,and then train the network with GA-BP.After collecting a great deal of information of girder-style bridges,the hybrid algorithm was introduced into the earthquake damage prediction,then compare with the single BP neural network.The results show that GA-BP algorithm is an effective and accurate method for seismic damage prediction of bridges.
【Fund】: 国家自然科学基金项目(50678033)
【CateGory Index】: U442.55;TP183
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