Modelling and forecasting of COVID-19 spread using wavelet-coupled random vector functional link networks

Researchers around the world are applying various prediction models for COVID-19 to make informed decisions and impose appropriate control measures. Because of a high degree of uncertainty and lack of necessary data, the traditional models showed low accuracy over the long term forecast. Although th...

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Detalles Bibliográficos
Autores principales: Hazarika, Barenya Bikash, Gupta, Deepak
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Elsevier B.V. 2020
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7423518/
https://www.ncbi.nlm.nih.gov/pubmed/32834800
http://dx.doi.org/10.1016/j.asoc.2020.106626

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7423518/
https://www.ncbi.nlm.nih.gov/pubmed/32834800
http://dx.doi.org/10.1016/j.asoc.2020.106626

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