Method for forecasting the logistics demand of Shenyang Economic Zone based on BP neural network

Abstract

Through analyzing the economic factors that affect regional logistics demand, this paper chooses the indictor for determining the logistic demand, a BP neural network model of logistics forecasting is established. Then this paper researches the forecast of Shenyang Economic Zone logistics demand, to ensure the development of economic and logistics in Shenyang Economic Zone more coordinated development, and the purpose to provide guidance for the planning, design and development of Shenyang Economic Zone logistics system. © 2011 Springer-Verlag Berlin Heidelberg.