本项目实现2019新型冠状病毒肺炎(COVID-19)预测,采用经典传染病动力学模型SEIR,通过控制接触率来改变干预程度,体现防控的意义。
另外,采用LSTM神经网络实现一定程度的预测,输入前三天的数据,预测第四天的数据。下一步要增加干预值作为输入,优化输入输出的序列长度,更好地实现预测。
SEIR and LSTM prediction of the epidemics trend of COVID-19.
This project forked from andyyue1893/covid-19-seir-lstm
本项目实现2019新型冠状病毒肺炎预测,分别采用经典传染病动力学模型SEIR和LSTM神经网络实现,通过控制模型参数来改变干预程度,体现防控的意义。
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