Cargando…
The Prediction of the Epidemic Trend of COVID-19 Using Neural Networks
In this paper, a BP neural network and an LSTM network are applied respectively to the prediction of Coronavirus Disease 2019 (COVID-19) in Wuhan, China and South Korea. The methods do not require specific theories of modelling and the predicted values can be obtained as long as the conventional par...
Autores principales: | Yang, Jing, Shen, Zhen, Dong, Xisong, Shang, Xiuqin, Li, Wei, Xiong, Gang |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
, IFAC (International Federation of Automatic Control) Hosting by Elsevier Ltd.
2020
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8153202/ http://dx.doi.org/10.1016/j.ifacol.2021.04.182 |
Ejemplares similares
-
Forecasting COVID-19 Epidemic Trends by Combining a Neural Network with R(t) Estimation
por: Cinaglia, Pietro, et al.
Publicado: (2022) -
Prediction of Epidemics Trend of COVID-19 in Bangladesh
por: Hassan, Raguib, et al.
Publicado: (2020) -
The manufacturing procedure of 3D printed models for endoscopic endonasal transsphenoidal pituitary surgery
por: Shen, Zhen, et al.
Publicado: (2020) -
Interpretable spatial identity neural network-based epidemic prediction
por: Luo, Lanjun, et al.
Publicado: (2023) -
Extended SIR Prediction of the Epidemics Trend of COVID-19 in Italy and Compared With Hunan, China
por: Wangping, Jia, et al.
Publicado: (2020)