Research on the Site Selection Model of Express Service Outlets based on BP Neural Network

Yuan Yuan, Jianrong Dong
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Abstract

With the continuous development of the times, urban planning for the development of the logistics industry puts forward higher requirements, but also for the development of the express industry provides a more potential market, and how to efficiently carry out the site selection of express service outlets has become a difficult problem, so for the current market demand and the current situation. This paper combines the fuzzy comprehensive evaluation method, the establishment of a four-level comprehensive assessment system, the use of BP neural network training, the city express service outlets for scientific site selection and validation analysis, to get the region of the optimal location of each courier service outlets for the city courier service outlets to provide a scientific site selection program.
基于 BP 神经网络的快递服务网点选址模型研究
随着时代的不断发展,城市规划对于物流行业的发展提出了更高的要求,同时也为快递行业的发展提供了更具潜力的市场,而如何高效地进行快递服务网点的选址成为了一个难题,因此针对当前的市场需求和现状。本文结合模糊综合评价法,建立了四级综合评价体系,利用BP神经网络训练,对城市快递服务网点进行科学选址和验证分析,得到区域内各个快递服务网点的最优位置,为城市快递服务网点选址提供科学的方案。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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