A Method for Forecasting Regional Logistics Demand Based on BP Neural Network

Abstract

Regional logistics demand forecast is an important part of the regional economy which can be developed well and fast, the regional economy is the decisive force to the regional logistics development, so it is feasible to predict the regional logistics demand by regional economic index. In this paper, we build the BP neural network model based on regional economic indices to forecast the regional logistics demand. The simulation results show that the model can reflect the nonlinear relationship between the regional logistics and regional economy, which causes the regional logistics demand forecast results are more reasonable.