A COVID-19 Prediction Model Based on Neural Network

The emergence and spread of COVID-19 has had a huge negative impact on society. The use of machine learning methods and big data technology to study the spread and development of the epidemic is a hot topic for many scholars. This paper proposes a model based on the
$\text{LSTM}+\text{BPNN}$
neural network, which predicts the development trend of the new crown epidemic through the migration data of urban population flows, and proves the effectiveness of the model through a large number of experiments.