Author: Sina F. Ardabili; Amir MOSAVI; Pedram Ghamisi; Filip Ferdinand; Annamaria R. Varkonyi-Koczy; Uwe Reuter; Timon Rabczuk; Peter M. Atkinson
Title: COVID-19 Outbreak Prediction with Machine Learning Document date: 2020_4_22
ID: nu0pn2q8_41
Snippet: In the present research, one of the frequently used types of ANN called the MLP [76] was employed to predict the outbreak. MLP was trained using a dataset related to both scenarios (according to Table 2 ). For the training of the network, 8, 12, and 16 inner neurons were tried to achieve the best response. Results were evaluated by RMSE and correlation coefficient to reduce the cost function value. Figure 5 presents the architecture of the MLP......
Document: In the present research, one of the frequently used types of ANN called the MLP [76] was employed to predict the outbreak. MLP was trained using a dataset related to both scenarios (according to Table 2 ). For the training of the network, 8, 12, and 16 inner neurons were tried to achieve the best response. Results were evaluated by RMSE and correlation coefficient to reduce the cost function value. Figure 5 presents the architecture of the MLP.
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