Research on the predicting model of convenience store model based on digital twins

被引：5

作者：

Chen Xiuyu ^{[1
]}

Guan Tianyi ^{[2
]}

机构：

[1] Dalian Neusoft Univ Informat, Dalian 116023, Liaoning, Peoples R China

[2] Dalian Environm Protect Volunteers Assoc, Dalian 116023, Liaoning, Peoples R China

来源：

2018 INTERNATIONAL CONFERENCE ON SMART GRID AND ELECTRICAL AUTOMATION (ICSGEA) | 2018年

关键词：

Digital Twins; BP neural networks; forecast;

D O I：

10.1109/ICSGEA.2018.00062

中图分类号：

TM [电工技术]; TN [电子技术、通信技术];

学科分类号：

0808 ; 0809 ;

摘要：

With the rapid development of information economy, how to make full use of the existing store information for decision-making and analysis of goods has significant importance in the store's sales forecast. As a potential way to realize the interaction and integration between physical world and information space, the concept of digital twins had been proposed recently which attracted high attentions of academics practitioners in related fields. Based on the previous research on the concept of digital twins, the reference system architecture of digital twins convenience stores is designed. A digital twins model based on BP neural network is proposed as the example of convenience store prediction, compared with the traditional grey prediction, the results show that the model has smaller prediction error and higher accuracy.

引用

页码：224 / 226

页数：3