Short-Term Water Traffic Flow Prediction with Convolutional Neural Network and Long Short-Term Memory Network

The convolutional neural network and long short-term memory network are used together to improve accuracy of short-term water traffic flow prediction and reduce the network training time.Loss function is constructed based on dynamic time warping algorithm.Achieved prediction accuracy of the design is compared to that of other models, including GM(Grey Model), ARIM, WNNA, WNN, BPNN, CNN-LSTM and proved to be superior.