Enhancing online epidemic supervising system by compartmental and gru fusion model

HIGHLIGHTS

• who: from the School of Electronics Engineering and Computer Science, Peking University, Beijing, China have published the paper: Enhancing Online Epidemic Supervising System by Compartmental and GRU Fusion Model, in the Journal: Mobile Information Systems 1.8 2.50 Italy Peak: R=1.78 Date: 2020-2-25 of 29/08/2022
• what: The authors propose a fusion model to leverage the merits of both models and resolve their shortcomings. The authors proposed the SEIDR-guided GRU fusion model to keep the interpretability of prediction and reduce the overfitting by leveraging epidemic-related knowledge extracted . . .
  

   

  

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