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Short-term prediction of COVID-19 spread using grey rolling model optimized by particle swarm optimization
The prediction of the spread of coronavirus disease 2019 (COVID-19) is vital in taking preventive and control measures to reduce human health damage. The Grey Modelling (1,1) is a popular approach used to construct a predictive model with a small-sized dataset. In this study, a hybrid model based o...
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| Publicado no: | Appl Soft Comput |
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| Autor principal: | |
| Formato: | Artigo |
| Idioma: | Inglês |
| Publicado em: |
Elsevier B.V.
2021
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| Assuntos: | |
| Acesso em linha: | https://ncbi.nlm.nih.gov/pmc/articles/PMC8186943/ https://ncbi.nlm.nih.gov/pubmed/34121965 https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1016/j.asoc.2021.107592 |
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