Regional Logistics Demand Forecast Based on Factor Analysis and Neural Network

In order to improve the forecast accuracy of regional logistics demand,we put forward a regional logistics demand forecasting method based on factor analysis and BP neural network(FA-BP).Firstly,through factor analysis,the dimensions of influencing factors was reducted.Then the regional logistics demand data were input to BP neural network for training,to establish the prediction model.Finally,the regional logistics demand forecasting results were obtained.A regional logistics demand forecast of 1993-2007 years was carried out and the results were analyzed.The results show that the FA-BP model improves the regional logistics demand forecast accuracy,speeds up the network convergence speed,and has a broad application prospect.