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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Veröffentlicht in: | Applied soft computing 2021-09, Vol.109, p.107592-107592, Article 107592 |
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Sprache: | eng |
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