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
收藏
页码：177 / 181
页数：5
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