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Academic Journal of Computing & Information Science, 2021, 4(3); doi: 10.25236/AJCIS.2021.040312.

Confirming the Buzz about Hornets


Junman Yu, Chenkang Wei, Yue Fang, Rui Kong

Corresponding Author:
Junman Yu

School of Communication and Information Engineering, Xi'an University of Science and Technology, Xi'an 710600, China


With the occurrence of many Vespa mandarinia sightings, Washington has established various channels to encourage people to report Vespa mandarinia. This paper uses the Time Series to predict the latitude and longitude, and verify the prediction through Neural Network and Linear Regression Fitting the accuracy of the result. The relative error of bringing the prediction data into the Neural Network training model is 8.73%. Using SVM model in this paper, unverified date training and analysis were carried out on the original data, and the analysis results showed that the accuracy was 89.95% and the recall rate was 93%, demonstrating the good matching degree of the model. Finally using a Decision Tree Classification Model calculate the total weight corresponding to each unverified data through PYTHON programming.


Neural Network, SVM Model, Decision Tree

Cite This Paper

Junman Yu, Chenkang Wei, Yue Fang, Rui Kong. Confirming the Buzz about Hornets. Academic Journal of Computing & Information Science (2021), Vol. 4, Issue 3: 77-82. https://doi.org/10.25236/AJCIS.2021.040312.


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