现代信息科技2024，Vol.8Issue(1)：116-120,5.DOI:10.19850/j.cnki.2096-4706.2024.01.024
基于ARIMA-LSTM混合模型对传染病的预测分析
Prediction Analysis of Infectious Diseases Based on ARIMA-LSTM Mixed Model
摘要
Abstract
Infectious diseases have always been a hot topic in scientific research,and using scientific methods to control the spread of infectious diseases plays a crucial role in the entire country and even the world.This paper selects COVID-19 infected persons in class B infectious diseases as the research object,collects the cumulative number of confirmed cases of COVID-19 infection in Beijing from January 2022 to April 2022,forms a time series,and conducts prediction analysis based on a mixed model of autoregressive moving average model(ARIMA)and Long Short-Term Memory(LSTM).The results indicate that the prediction results of the mixed model are basically consistent with the actual situation.关键词
时间序列/ARIMA模型/LSTM模型/组合预测模型Key words
time series/ARIMA model/LSTM model/combinatorial prediction model分类
信息技术与安全科学引用本文复制引用
王瑞,李瑞沂,曹沛根,冯和棠,黄猛..基于ARIMA-LSTM混合模型对传染病的预测分析[J].现代信息科技,2024,8(1):116-120,5.基金项目
防灾科技学院2022大学生创新创业项目(202211775011) （202211775011）
