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基于BP神经网络确定最优配送车辆数目问题的研究
引用本文:王永亮,袁振洲,李艳红.基于BP神经网络确定最优配送车辆数目问题的研究[J].交通标准化,2008(6):21-23.
作者姓名:王永亮  袁振洲  李艳红
作者单位:北京交通大学交通运输学院,北京,100044
基金项目:国家高技术研究发展计划(863计划) , 国家科技支撑计划
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。

关 键 词:BP神经网络  配送  车辆  MATLAB  工具箱

Research on Determining Optimal Number of Delivery Vehicle Based on BP Neural Network
WANG Yong-liang,YUAN Zhen-zhou,LI Yan-hong.Research on Determining Optimal Number of Delivery Vehicle Based on BP Neural Network[J].Communications Standardization,2008(6):21-23.
Authors:WANG Yong-liang  YUAN Zhen-zhou  LI Yan-hong
Institution:(School of Traffic and Transportation, Beijing Jiaotong University, Beijing 100044, China)
Abstract: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.
Keywords:BP neural network  delivery  vehicle  MATLAB  tool kit
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