Economic Losses Research of Seismic Damage Based on Grey Correlation and Genetic Neural Network

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Abstract:

In order to estimate the urban economic losses after earthquakes, builds the prediction model based on grey relation and genetic neural network. According to the grey correlation analysis, screens out the major factor effecting the earthquake losses as input vectors of neural network first, adopts genetic algorithm to optimize the initial weights and bias of BP network and then, solves the problem that the traditional neural network has slow convergence velocity and can not easy to get the global optimum. According to the example, we can get the model that has good forecast accuracy and convergence rate and checks the rationality and effectiveness at last.

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2054-2059

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May 2012

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© 2012 Trans Tech Publications Ltd. All Rights Reserved

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[1] Wei Jiang, Lingyong Ma, Gongliang Liu, northwestern seismological journal. 2011.06,33(2):155-156(In Chinese)

Google Scholar

[2] Daohua Liu, Chunping Qiao, Yue Wang, Shuli Wang, Xian Univ. of Arch. & Tech. .(Natural Science Edition) 2008.08,40(4):504-508(In Chinese)

Google Scholar

[3] Yanlin Zhao, Lufeng Yang, Zhanxin Mei.Journal of Guangxi University (Nat Sci Ed) 1998.12,(4):309-313(In Chinese)

Google Scholar

[4] Yudan Dou,Yongbo Yuan,Mingyuan Zhang. Journal of Engineering Management. 2010.02,24(1):29-32(In Chinese)

Google Scholar

[5] Chen Lei, Yang Min, Water-saving Irrigation(In Chinese)

Google Scholar

[6] Jianglin Li,Jingyu Su,Xianzhang Li, HENAN SCIENCE. 2011.07, 29(7):869-872(In Chinese)

Google Scholar

[7] Monitoring and Prediction Division of China Seismological Bureau. The Chinese mainland compilation of earthquake damage assessment[M](1996~2000), Beijing Seismological Press, 2001.5(In Chinese)

Google Scholar