基于神经网络的跨境电子商务物流成本预测  

Analysis of Cross-Border E-Commerce Logistics Cost Forecast Based on Neural Network

作　　者：童林林 TONG Linlin(Chengdu Institute Sichuan International Studies University,Chengdu 611844,China)

机构地区：[1]四川外国语大学成都学院,四川成都611844

出　　处：《物流科技》2023年第4期48-51,共4页Logistics Sci-Tech

基　　金：四川省高等教育人才培养质量和教学改革重点项目(JG2021-1537);2021年度校级教育教学改革研究一般项目(JGYB202106)。

摘　　要：物流成本有很多影响因素,对于其赋值,如果只是进行猜测,则主观性较大,预测物流成本有一定难度。文章在进行分析时,结合实际情况,建立相应的BP神经网络模型,并用于物流成本预测实验;结果发现,该模型精确度相当高。神经网络在跨境电子商务中具有成本预测功能,其能够有效提高电子商务物流预测效率。神经网络成本预测对整体系统的运行具有重要作用,传统物流成本计算方法虽然通过展示成本的大小表明物流管理自身的重要性,这在物流管理意识中起到重要作用,但是成本预测数据在物流管理中发挥的作用较为有限,很多企业已经掌握物流管理成本,这表明按照传统计算方法得到的数据成本能够促进物流管理水平提高。There are many factors inf luencing logistics costs.For its assignment,if it is only a guess,it will be more subjective and it will be difficult to predict the logistics cost.This paper analyzes the actual situation,establishes the corresponding BP neural network model,and applies it to the logistics cost prediction experiment.The result shows that the accuracy of the model is quite high.Neural network has cost forecasting function in cross-border e-commerce,which can effectively improve the efficiency of e-commerce logistics forecasting.Neural network cost prediction plays an important role in the operation of the whole system.Although the traditional logistics cost calculation method shows the importance of logistics management itself by showing the size of the cost,which plays an important role in logistics management awareness.The cost prediction data plays a relatively limited role in logistics management,although many enterprises have mastered the logistics management cost.It shows that the data cost obtained by the traditional calculation method can promote the improvement of logistics management level.

关 键 词：神经网络 物流成本 物流预测 

分 类 号：F259.27[经济管理—国民经济]