Comparative analysis and forecasting of COVID-19 cases in various European countries with ARIMA, NARNN and LSTM approaches.

Kirbas, Ismail; Sözen, Adnan; Tuncer, Azim Dogus; Kazancioglu, Fikret Sinasi

Kirbas, Ismail; Sözen, Adnan; Tuncer, Azim Dogus; Kazancioglu, Fikret Sinasi.

Afiliação

Kirbas I; Department of Computer Engineering, Faculty of Engineering-Architecture, Burdur Mehmet Akif Ersoy University, Burdur, Turkey.
Sözen A; Department of Energy Systems Engineering, Faculty of Technology, Gazi University, Ankara, Turkey.
Tuncer AD; Department of Energy Systems Engineering, Faculty of Engineering-Architecture, Burdur Mehmet Akif Ersoy University, Burdur, Turkey.
Kazancioglu FS; Institute of Natural and Applied Sciences, Gazi University, Ankara, Turkey.

Chaos Solitons Fractals ; 138: 110015, 2020 Sep.

Article em En | MEDLINE | ID: mdl-32565625

Palavras-chave

ARIMA; COVID-19; Forecasting; LSTM; Modeling; NARNN

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Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Tipo de estudo: Prognostic_studies Idioma: En Revista: Chaos Solitons Fractals Ano de publicação: 2020 Tipo de documento: Article País de afiliação: Turquia

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