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Study of ARIMA and least square support vector machine (LS-SVM) models for the prediction of SARS-CoV-2 confirmed cases in the most affected countries

机译：ARIMA和最小二乘支持向量机（LS-SVM）模型用于预测受灾最严重国家中SARS-CoV-2确诊病例的研究

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期刊名称 Elsevier Public Health Emergency Collection
作者
Sarbjit Singh; Kulwinder Singh Parmar; Sidhu Jitendra Singh Makkhan; Jatinder Kaur; Shruti Peshoria; Jatinder Kumar;
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作者单位

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年(卷),期 -1(139),-1
年度 -1
页码 -1
总页数 10
原文格式 PDF
正文语种
中图分类心血管疾病;
关键词
SARS-COV-2 cases; ARIMA model; Least square support vector machine; Prediction;

机译：SARS-COV-2病例;ARIMA模型;最小二乘支持向量机;预测;

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Study of ARIMA and least square support vector machine (LS-SVM) models for the prediction of SARS-CoV-2 confirmed cases in the most affected countries

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