Author(s)

Liu Huanyu ¹, Zha Shi Ci Li ¹, Jiang Wang ¹

Affiliation(s)

¹ School of management science and engineering, Central University of Finance and economics, Beijing, 102200

Corresponding Author

Liu Huanyu

ABSTRACT

For the Washington state, the existence of Vespa mandarinia may do harm to the local people and the environment. Therefore, according to the eyewitness reports collected by government, we establish several prediction models and classification models to help the government better deal with the harm caused by the bees. We process the data and remove some possible exception value.Then we respectively use the gray prediction model to predict the longitude and latitude, and get the latitude and longitude information of the reports that are confirmed to be the Vespa mandarinia for the next four times, and give the predictions Accuracy. We find that the bee colony moved roughly to the southeast and inland.

KEYWORDS

Gray Prediction Model, Machine learning, Species invasion

CITE THIS PAPER

Liu Huanyu, Zha Shi Ci Li, Jiang Wang. Research on Vespa Mandarinia Species Invasion Prevention and Control Based on Gray Prediction Model. Environment, Resource and Ecology Journal (2021) 5: 11-14. DOI: http://dx.doi.org/10.23977/erej.2021.050303

REFERENCES

[1] Zeng Bo, Li Hui, Ma Xin A novel multi-variable grey forecasting model and its application in forecasting the grain production in China [J] Computers & Industrial Engineering, 2020, 150
[2] Luo Xilin, Duan Huiming, Xu Kai A novel grey model based on traditional Richards model and its application in COVID-19 [J] Chaos, Solitons & Fractals, 2020(prepublish)
[3] Song Yoonho. Tutorial on the Coordinate Transforms in Applied Geophysics [J]. Geophysics and Geophysical Exploration, 2020, 23(2).

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