no code implementations • 25 Jun 2019 • Boyi Liu, Xiangyan Tang, Jieren Cheng, Pengchao Shi
In this paper, we define the traffic data time singularity ratio in the dropout module and propose a combination prediction method based on the improved long short-term memory neural network and time series autoregressive integrated moving average model (SDLSTM-ARIMA), which is derived from the Recurrent Neural Networks (RNN) model.