摘要
从社会经济发展的层面提出了物流需求的界定和衡量方法,并利用BP神经网络对武汉市2010年物流需求量进行了预测;该模型不仅揭示了外部经济系统和内部运输系统与物流需求之间的非线性映射关系,同时有助于对武汉市现代物流业发展战略进行具体分析和规划。
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.
出处
《物流技术》
2010年第15期70-73,共4页
Logistics Technology
关键词
现代物流
物流需求
BP神经网络
预测
modern logistics
logistics demand
BP neural network
forecasting
