A novel deep interval type-2 fuzzy LSTM (DIT2FLSTM) model applied to COVID-19 pandemic time-series prediction

Currently, the novel COVID-19 coronavirus has been widely spread as a global pandemic. The COVID-19 pandemic has a major influence on human life, healthcare systems, and the economy. There are a large number of methods available for predicting the incidence of the virus. A complex and non-stationary...

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Detalles Bibliográficos
Autores principales: Safari, Aref, Hosseini, Rahil, Mazinani, Mahdi
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Elsevier Inc. 2021
Materias:
Original Research
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8482548/
https://www.ncbi.nlm.nih.gov/pubmed/34601140
http://dx.doi.org/10.1016/j.jbi.2021.103920

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8482548/
https://www.ncbi.nlm.nih.gov/pubmed/34601140
http://dx.doi.org/10.1016/j.jbi.2021.103920

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