SHORT-TERM-FORECASTING-COVID-19-IN-TURKEY BY USING LSTM WITH TO COMPARE ARIMA, HWAAS, PROPHET The authors of this article are SERDAR HELLİ ,ÇAĞKAN DEMİRCİ,ONUR ÇOBAN ,and ANDAÇ HAMAMCI.
License: GNU General Public License v3.0
SHORT-TERM-FORECASTING-COVID-19-IN-TURKEY BY USING LSTM
In this study, the value of Long Short-Term Memory (LSTM) Networks in forecasting the total number of COVID- 19 cases in Turkey was evaluated.
The authors are SERDAR HELLİ ,ÇAĞKAN DEMİRCİ,ONUR ÇOBAN,and ANDAÇ HAMAMCI. The paper link
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