Vessel Traffic Flow Prediction Based on BP Neural Network
Jinbiao Chen · Ship & Ocean Engineering · 2010
Based on the study of the characteristics of vessel traffic flow,taking the vessel traffic flow control as the ultimate goal,the vessel traffic flow prediction model based on the BP(Back Propagation) neural network was setup.Taking the Yangtze estuary deepwater channel's traffic flow data as training samples,the simulation analysis was carried out.Comparing with the forecasting data and the measured data weighted,it showed that the model is valid for the prediction of vessel traffic flow.