Comparative analysis and forecasting of COVID-19 cases in various European countries with ARIMA, NARNN and LSTM approaches
In this study, confirmed COVID-19 cases of Denmark, Belgium, Germany, France, United Kingdom, Finland, Switzerland and Turkey were modeled with Auto-Regressive Integrated Moving Average (ARIMA), Nonlinear Autoregression Neural Network (NARNN) and Long-Short Term Memory (LSTM) approaches. Six model p...
- Autores:
- Tipo de recurso:
- Article of journal
- Fecha de publicación:
- 2020
- Institución:
- Universidad de Bogotá Jorge Tadeo Lozano
- Repositorio:
- Expeditio: repositorio UTadeo
- Idioma:
- eng
- OAI Identifier:
- oai:expeditiorepositorio.utadeo.edu.co:20.500.12010/12470
- Acceso en línea:
- https://www.sciencedirect.com/science/article/pii/S0960077920304136?via%3Dihub
http://hdl.handle.net/20.500.12010/12470
https://doi.org/10.1016/j.chaos.2020.110015
- Palabra clave:
- COVID-19
Síndrome respiratorio agudo grave
COVID-19
SARS-CoV-2
Coronavirus
Forecasting
ARIMA
NARNN
LSTM
Modeling
- Rights
- License
- Acceso restringido