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Sliding window time series forecasting with multilayer perceptron and multiregression of COVID-19 outbreak in Malaysia

This study demonstrates a sliding window time series forecasting methods to predict future trends of pandemic coronavirus disease 2019 (COVID-19) reported in Malaysia using a multiple regression and single-layer feedforward artificial neural network. Data from Jan. 25 to Apr. 30 were obtained from t...

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Detalles Bibliográficos
Autor principal: Norwawi, Norita Md
Formato: Online Artículo Texto
Lenguaje:English
Publicado: 2021
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8988917/
http://dx.doi.org/10.1016/B978-0-12-824536-1.00025-3