Vespa mandarina diffusion model based on AdaBoost and CNN
DOI: 10.23977/jeis.2021.61010 | Downloads: 6 | Views: 608
Zerong Wang 1, Yiran Wang 1
1 Leicester international Institute, Dalian University of Technology, Dalian 116000, China
Corresponding AuthorZerong Wang
In this paper, we build two different models at the same time. The first model is a classification model based on Adaboost, and the second model is an image recognition model based on CNN, which takes the pictures in 2021mcm _ problem _ files as input and classifies them. According to the classification results of the two models, we can find the accuracy of the Adaboost model is 0.57 and the accuracy of the CNN model is 0.971, which is found on the test data.
KEYWORDSAdaBoost, CNN, Bagging, SVM
CITE THIS PAPER
Zerong Wang, Yiran Wang. Vespa mandarina diffusion model based on AdaBoost and CNN. Journal of Electronics and Information Science (2021) 6: 62-66. DOI: http://dx.doi.org/10.23977/jeis.2021.61010
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