Based on linear regression, BP neural network, CNN convolution neural network, the Asian giant hornet prevention and treatment suggestions
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DOI: 10.23977/iset2021.027
Author(s)
Xiaochen Xiao, Jiepu Cui and Qishan Cai
Corresponding Author
Xiaochen Xiao
ABSTRACT
Through the preprocessing of the data set, the data set is divided according to the laboratory status, and the positive ID is selected. We use linear regression to make regression analysis on the time series of the selected data set, and further build BP neural network algorithm model to analyze the relationship between the longitude and latitude of the Bumblebee witness report and the detection date in the data set, and finally predict and analyze the model. The results showed that the longitude and latitude of the witness report and the detection date could predict the propagation of bumblebee.
KEYWORDS
Univariate linear regression, BP neural network, convolution neural network, CNN, image recognition