Demand Forecasting Model and Development Strategy for the Logistics Industry of Wuhan Based on BP Neural Network
HU Xiong-bin · Logistics Technology · 2010
The paper proposes the method for the definition and measurement of logistics demand from the perspective of social economic development and forecasts the volume of logistics demand of Wuhan in 2010 using BP neural network which can not only uncover the nonlinear mapping relationship between logistics demand and the economic system on the external and transport system on the internal,but also help the analysis and planning of development strategies for the logistics industry of Wuhan.