基于BP神经网络的福州都市圈物流需求预测  

Forecasting of Logistics Demand in Fuzhou Metropolitan Area Based on BP Neural Network

作　　者：邓熠 DENG Yi(Department of Business,Fuzhou Polytechnic,Fuzhou 350108,China)

机构地区：[1]福州职业技术学院商务系,福建福州350108

出　　处：《物流工程与管理》2022年第8期29-31,共3页Logistics Engineering and Management

摘　　要：随着社会经济的不断发展与产业结构的调整优化,现代物流业在国民经济中的地位愈发重要,精准的物流需求预测对物流产业高质量健康发展至关重要。文中分析了影响区域物流需求的主要因素,并建立相应的BP神经网络模型对福州都市圈的物流需求量进行预测。结果显示,未来5年福州都市圈物流需求量呈稳步上升趋势,结合都市圈内各城市物流实际发展情况,为福州都市圈物流产业发展规划提供一定的参考依据。With the continuous development of the social economy and the adjustment and optimization of the industrial structure,the status of modern logistics industry in the national economy is becoming more and more important.Accurate logistics demand forecasting is crucial to the high-quality and healthy development of the logistics industry.This paper analyzes the main factors affecting the regional logistics demand,and establishes the corresponding BP neural network model to forecast the logistics demand in Fuzhou metropolitan area.The results show that the demand for logistics in the Fuzhou metropolitan area will show a steady upward trend in the next five years.Combined with the actual development of logistics in the cities in the metropolitan area,a certain reference for the development planning of the logistics industry in the Fuzhou metropolitan area is provided.

关 键 词：BP神经网络 物流需求预测 福州都市圈 区域物流 

分 类 号：F259.27[经济管理—国民经济]