Intelligent Prediction Algorithm of Cross-Border E-Commerce Logistics Cost Based on Cloud Computing

Cross-border e-commerce logistics cost prediction algorithm does not consider logistics distribution scheduling, and logistics information interchange is not enough, which leads to confusion of logistics cost parameters and large deviation. Therefore, an intelligent prediction algorithm of cross-bor...

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Autor principal:	Wanli Gao
Formato:	article
Lenguaje:	EN
Publicado:	Hindawi Limited 2021
Materias:	Computer software QA76.75-76.765
Acceso en línea:	https://doaj.org/article/c45fb3db8e304cdc8fd155d1b5f783b1
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id	oai:doaj.org-article:c45fb3db8e304cdc8fd155d1b5f783b1
record_format	dspace
spelling	oai:doaj.org-article:c45fb3db8e304cdc8fd155d1b5f783b12021-11-08T02:36:34ZIntelligent Prediction Algorithm of Cross-Border E-Commerce Logistics Cost Based on Cloud Computing1875-919X10.1155/2021/7038294https://doaj.org/article/c45fb3db8e304cdc8fd155d1b5f783b12021-01-01T00:00:00Zhttp://dx.doi.org/10.1155/2021/7038294https://doaj.org/toc/1875-919XCross-border e-commerce logistics cost prediction algorithm does not consider logistics distribution scheduling, and logistics information interchange is not enough, which leads to confusion of logistics cost parameters and large deviation. Therefore, an intelligent prediction algorithm of cross-border e-commerce logistics cost based on cloud computing is designed. Introduce cloud computing platforms, optimize the scheduling of cross-border e-commerce logistics distribution tasks, and select the targets for the scheduling of cross-border e-commerce logistics distribution tasks from the aspects such as the shortest waiting time required by customers, the degree of resource load balance, and the costs consumed in completing cross-border e-commerce logistics distribution tasks, and design logistics scheduling process. On this basis, the logistics distribution data are classified, the association rules between the data are mined, and the monitoring of abnormal values in the cost forecasting process is completed. In order to eliminate the interference caused by the difference of different cost management interval, the function value is calculated by weighted Euclidean distance. Design feedback forecast mechanism to realize intelligent forecast algorithm of cross-border e-commerce logistics cost. Experimental results show that the proposed algorithm has better accuracy of cross-border e-commerce logistics cost prediction and higher completion rate of logistics tasks.Wanli GaoHindawi LimitedarticleComputer softwareQA76.75-76.765ENScientific Programming, Vol 2021 (2021)
institution	DOAJ
collection	DOAJ
language	EN
topic	Computer software QA76.75-76.765
spellingShingle	Computer software QA76.75-76.765 Wanli Gao Intelligent Prediction Algorithm of Cross-Border E-Commerce Logistics Cost Based on Cloud Computing
description	Cross-border e-commerce logistics cost prediction algorithm does not consider logistics distribution scheduling, and logistics information interchange is not enough, which leads to confusion of logistics cost parameters and large deviation. Therefore, an intelligent prediction algorithm of cross-border e-commerce logistics cost based on cloud computing is designed. Introduce cloud computing platforms, optimize the scheduling of cross-border e-commerce logistics distribution tasks, and select the targets for the scheduling of cross-border e-commerce logistics distribution tasks from the aspects such as the shortest waiting time required by customers, the degree of resource load balance, and the costs consumed in completing cross-border e-commerce logistics distribution tasks, and design logistics scheduling process. On this basis, the logistics distribution data are classified, the association rules between the data are mined, and the monitoring of abnormal values in the cost forecasting process is completed. In order to eliminate the interference caused by the difference of different cost management interval, the function value is calculated by weighted Euclidean distance. Design feedback forecast mechanism to realize intelligent forecast algorithm of cross-border e-commerce logistics cost. Experimental results show that the proposed algorithm has better accuracy of cross-border e-commerce logistics cost prediction and higher completion rate of logistics tasks.
format	article
author	Wanli Gao
author_facet	Wanli Gao
author_sort	Wanli Gao
title	Intelligent Prediction Algorithm of Cross-Border E-Commerce Logistics Cost Based on Cloud Computing
title_short	Intelligent Prediction Algorithm of Cross-Border E-Commerce Logistics Cost Based on Cloud Computing
title_full	Intelligent Prediction Algorithm of Cross-Border E-Commerce Logistics Cost Based on Cloud Computing
title_fullStr	Intelligent Prediction Algorithm of Cross-Border E-Commerce Logistics Cost Based on Cloud Computing
title_full_unstemmed	Intelligent Prediction Algorithm of Cross-Border E-Commerce Logistics Cost Based on Cloud Computing
title_sort	intelligent prediction algorithm of cross-border e-commerce logistics cost based on cloud computing
publisher	Hindawi Limited
publishDate	2021
url	https://doaj.org/article/c45fb3db8e304cdc8fd155d1b5f783b1
work_keys_str_mv	AT wanligao intelligentpredictionalgorithmofcrossborderecommercelogisticscostbasedoncloudcomputing
_version_	1718443135421382656

Intelligent Prediction Algorithm of Cross-Border E-Commerce Logistics Cost Based on Cloud Computing

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