Selected article for: "epidemic model and reliable forecast"

Author: Laszlo Robert Kolozsvari; Tamas Berczes; Andras Hajdu; Rudolf Gesztelyi; Attila TIba; Imre Varga; Gergo Jozsef Szollosi; Szilvia Harsanyi; Szabolcs Garboczy; Judit Zsuga
Title: Predicting the epidemic curve of the coronavirus (SARS-CoV-2) disease (COVID-19) using artificial intelligence
  • Document date: 2020_4_22
  • ID: 35xpmdbj_7
    Snippet: One class of AI, a form of artificial neural networks, the Recurrent Neural Networks (RNNs) 140 with Long short-term memory (LSTM) were previously used to model and forecast the 141 influenza epidemic, with strong competitiveness and reliable results. 21, 22, 23.....
    Document: One class of AI, a form of artificial neural networks, the Recurrent Neural Networks (RNNs) 140 with Long short-term memory (LSTM) were previously used to model and forecast the 141 influenza epidemic, with strong competitiveness and reliable results. 21, 22, 23

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