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COVID-19 forecasting and intervention planning using gated recurrent unit and evolutionary algorithm.

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第一作者： Luning,Bi

第一单位： Department of Industrial and Manufacturing Systems Engineering, Iowa State University, Ames, IA 50011 USA.

作者： Luning,Bi ^[1] ; Mohammad,Fili ^[1] ; Guiping,Hu ^[2]

作者单位： Department of Industrial and Manufacturing Systems Engineering, Iowa State University, Ames, IA 50011 USA. ^[1] Department of Sustainability, Rochester Institute of Technology, Rochester, NY 14623 USA. ^[2]

关键词 COVID-19 prediction Differential evolution (DE)Gated recurrent unit (GRU)Multi-population evolutionary algorithm Policy prescription

DOI 10.1007/s00521-022-07394-z

PMID 35669538

发布时间 2024-09-03

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Neural computing & applications

2022年34卷20期

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Neural computing & applications

2022年34卷20期

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COVID-19 forecasting and intervention planning using gated recurrent unit and evolutionary algorithm.

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COVID-19 forecasting and intervention planning using gated recurrent unit and evolutionary algorithm.

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