基于MBP神经网络的物流中心选址模型研究  

Research on the Site Selection Model of Logistics Center Based on MBP Neural Network

作　　者：杨月锋[1] 

机构地区：[1]福建农林大学交通学院,福建福州350002

出　　处：《物流工程与管理》2012年第11期4-6,共3页Logistics Engineering and Management

基　　金：福建省社会科学规划项目(项目编号:2012C014);福建农林大学校青年基金项目(项目编号:08B35)资助

摘　　要：分析了物流中心选址的影响因素和选址方法,基于改进的MBP神经网络对物流中心选址进行了分类研究,建立了物流中心选址的神经网络评价模型。该模型在结合BP神经网络能够克服指标权重难以表达这一传统优点的基础上,提高了收敛速度,实现了物流中心选址过程的客观性,有较好的应用价值。It analyzed the influencing factors and site selection methods of logistics center, discussed the site selection classification based on the improved MBP neural network, and established the neural network evaluation model of logistics center location in this paper. Combined with the advantage that BP neural network can overcome the shortcoming of index weight difficult to express, this model improved the convergence speed, realized the objectivity in the process of logistics center location, and had a good application value.

关 键 词：物流中心 选址 MBP神经网络 

分 类 号：F251.2[经济管理—国民经济]