Exo-LSTM: traffic flow prediction based on multifractal wavelet theory %D 2021 %R 10.19682/j.cnki.1005-8885.2021.0027 %J 中国邮电高校学报（英文） %P 102-110 %V 28 %N 5 %X
In order to predict traffic flow more accurately and improve network performance, based on the multifractal wavelet theory, a new traffic prediction model named exo-LSTM is proposed. Exo represents exogenous sequence used to provide a detailed sequence for the model, LSTM represents long short-term memory used to predict unstable traffic flow. Applying multifractal traffic flow to the exo-LSTM model and other existing models, the experiment result proves that exo-LSTM prediction model achieves better prediction accuracy.