首页> Advances in engineering software (Barking, London, England : 1992)> Improved seagull optimization algorithm of partition and XGBoost of prediction for fuzzy time series forecasting of COVID-19 daily confirmed.

Improved seagull optimization algorithm of partition and XGBoost of prediction for fuzzy time series forecasting of COVID-19 daily confirmed.

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第一作者： Sidong,Xian

第一单位： Key Laboratory of Intelligent Analysis and Decision on Complex Systems, Chongqing University of Posts and Telecommunications, Chongqing, 400065, P.R.China.;College of Computer Science and Technology, Chongqing University of Posts and Telecommunications, Chongqing, 400065, P.R. China.

作者： Sidong,Xian ^[1] ; Kaiyuan,Chen ^[2] ; Yue,Cheng ^[3]

作者单位： Key Laboratory of Intelligent Analysis and Decision on Complex Systems, Chongqing University of Posts and Telecommunications, Chongqing, 400065, P.R.China.;College of Computer Science and Technology, Chongqing University of Posts and Telecommunications, Chongqing, 400065, P.R. China. ^[1] College of Computer Science and Technology, Chongqing University of Posts and Telecommunications, Chongqing, 400065, P.R. China. ^[2] Key Laboratory of Intelligent Analysis and Decision on Complex Systems, Chongqing University of Posts and Telecommunications, Chongqing, 400065, P.R.China. ^[3]

关键词 COVID-19 COVID-19, Corona Virus Disease 2019 FST, Fuzzy time series Fuzzy time series ISOA, Improved seagull optimization algorithm Improved seagull optimization algorithm XGBoost XGBoost, Extreme Gradient Boosting Tree

DOI 10.1016/j.advengsoft.2022.103212

PMID 35936352

发布时间 2022-12-21

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