Forecasting Model of Supply Chain Management Based on Neural Network

被引：0

作者：

Liu, HongJing ^{[1
]}

机构：

[1] Qinhuangdao Inst Technol, Dept Econ, Qinhuangdao 066000, Peoples R China

来源：

PROCEEDINGS OF THE 2015 INTERNATIONAL CONFERENCE ON AUTOMATION, MECHANICAL CONTROL AND COMPUTATIONAL ENGINEERING | 2015年 / 124卷

关键词：

Neural network; Supply chain management; Application;

D O I：

暂无

中图分类号：

TP [自动化技术、计算机技术];

学科分类号：

0812 ;

摘要：

Neural network technology has been successfully applied in many business areas. This paper systematic summarizes the applications of neural network technology in supply chain management, which include three areas: optimization, forecasting and decision support. Then, the BP neural network is used to forecast the demand of bicycle in a certain region, the forecasting result demonstrates that BP neural network has a better forecasting accuracy than that of traditional forecasting model.

引用

页码：177 / 181

页数：5

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