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Strategy for the Protection of Global EDP Refugees

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DOI: 10.23977/medsc.2021.020215 | Downloads: 5 | Views: 879

Author(s)

Tong Liu 1, Yijie Huang 1, Bingxue Li 1

Affiliation(s)

1 College of Marine Electrical Engineering, Dalian Maritime University, Dalian, Liaoning, 116026

Corresponding Author

Tong Liu

ABSTRACT

In recent years, the situation of EDP refugees has become increasingly serious. In order to determine the scope of EDP refugees, we mainly forecast their current and future numbers and assess the risk of cultural loss of EDP refugees themselves. First of all, we select 10 factors that affect the number of EDP, and use Principal component Analysis to screen out 6 main factors. Next, a BP Neural network model is established, which takes six main factors as network inputs to predict the number of EDP refugees in 2020 and 2021. Then we set up a Risk Assessment Model to assess the risk of cultural loss of EDP refugees, looking for six main factors that affect the risk of cultural loss, and giving different scores to different factors and different situations, and finally divided into four levels of cultural loss risk. This model can be applied to all EDP refugees to assess the risk level of their own cultural loss, and then take corresponding measures to protect their own culture.

KEYWORDS

Principal component Analysis, BP Neural Network, Risk Assessment Model

CITE THIS PAPER

Tong Liu, Yijie Huang, Bingxue Li. Strategy for the Protection of Global EDP Refugees. MEDS Clinical Medicine (2021) 2: 77-81. DOI: http://dx.doi.org/10.23977/medsc.2021.020215

REFERENCES

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[2] https://www.emdat.be/
[3] Si Shoukui .Mathematical modeling algorithm and Application [M] National Defense Industry Press, 2015, 425-43
[4] Zhuo Jinwu. The application of MATLAB in mathematical modeling [M] Beijing University of Aeronautics and Astronautics Press, 2014-9, 137-159
[5] https://wenku.baidu.com/view/2f6a154bc4da50e2524de518964bcf84b9d52dc0.html

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