[1]ZHAO Shida,ZHANG Nan,ZHANG Siwen,et al.Research on Rapid Evaluation Method of Earthquake Direct Economic Loss based on LM-BP Neural Network[J].Journal of Seismological Research,2016,39(03):500-506.
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Journal of Seismological Research[ISSN 1000-0666/CN 53-1062/P] Volume:
39
Number of periods:
2016 03
Page number:
500-506
Column:
Public date:
2016-07-23
- Title:
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Research on Rapid Evaluation Method of Earthquake Direct Economic Loss based on LM-BP Neural Network
- Author(s):
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ZHAO Shida1; ZHANG Nan1; ZHANG Siwen2; SUN Xiaodong3
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(1.Earthquake Administration of Tianjin Municiple, Tianjin 300201, China)(2.School of Science,Tianjin University of Technology, Tianjin 300384, China)(3.Colledge of Electronics and Information Engineering,Tianjin Polytechnic University, Tianjin 300387, China)
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- Keywords:
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earthquake disaster; disaster assessment; direct economic losses; LM-BP neural network
- CLC:
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P315-39
- DOI:
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- Abstract:
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Firstly, on the basis of comprehensive considering the earthquake induced disaster factor, seismic fortification factor, economic index factor, we selected seven factors as the main evaluation indicators to evaluate the direct economic losses caused by earthquake, such as earthquake magnitude, focal depth, disaster area, affected population, seismic fortification basic acceleration, per capita GDP of disaster area, industrial structure ratio. Secondly, we constructed the model of seismic economic loss assessment based on the LM-BP neural network by using neural network analysis method. Thirdly, we extracted the relative data from historical earthquake events as the sample, and used it to training. Finally, we analyzed the error rate of the model output result and the generalization ability of the model, and concluded that the model can effectively evaluate the earthquake direct economic loss and had the high stability.