基于BP神经网络确定最优配送车辆数目问题的研究  

Research on Determining Optimal Number of Delivery Vehicle Based on BP Neural Network

作　　者：王永亮[1] 袁振洲[1] 李艳红[1] 

机构地区：[1]北京交通大学交通运输学院,北京100044

出　　处：《交通标准化》2008年第6期21-23,共3页Communications Standardization

基　　金：国家高技术研究发展(863)计划资助(2006AA11Z201);国家"十一五"科技支撑计划资助(2006BAJ07B03)

摘　　要：在介绍BP神经网络相关知识的基础上,建立用于确定最优配送车辆数目的三层BP神经网络,给出BP神经网络的学习步骤,并通过实例对基于MATLAB的神经网络工具箱的可行性加以验证,对于相关研究具有十分重要的指导意义。This paper firstly introduces some content on BP neural network, establishing the threelayer BP neural network that determines the optimal number of delivery vehicle, and provides its learning steps. Through appling the three-layer BP neural-network to an example with the neural network tool kit of MATLAB, it finally leads to the conclusion that using the three-layer BP neural network to determine the optimal number of delivery vehicle is feasible.

关 键 词：BP神经网络 配送 车辆 MATLAB 工具箱 

分 类 号：U495[交通运输工程—交通运输规划与管理]