Study on the prediction model of regional freight logistics based on BP neural network

The prediction of regional freight logistics plays a vital role in the planning programming of Regional Logistics Information Platform. However, due to the incomplete existing data, the use of general prediction method will lead to large errors. In order to improve the prediction accuracy of regional logistics amount, the paper uses artificial neural network — BP model — to predict regional logistics freight of Huailai District. Through the training and analyzing of the related variables, it proves having higher prediction accuracy that using BP neural network model to predict the regional logistics amount, which provides the scientific basis for planning programming of Regional Logistics Information Platform.