Application of grey neural network combined model in electronic commerce sales forecast

被引:0
|
作者
Jianxin, Zhu [1 ,2 ]
Zhongzhi, Liao [1 ,3 ]
机构
[1] School of Information Engineering, Wuhan University of Technology, Wuhan Hubei, China
[2] School of Business, Nantong University, Nantong Jiangsu, China
[3] School of Electronic and Information Engineering, Nantong Vocational University, astr Nantong Jiangsu, China
关键词
Electronic commerce - Forecasting - Sales - System theory;
D O I
10.1166/sl.2015.3649
中图分类号
学科分类号
摘要
With the rapid development of electronic commerce and the popularization of the technology of cloud application, the information tide of business has already been swept to all walks of life. The application of the grey neural network combined model to the prediction of the temperature data is analyzed. Firstly, the GM (1, 1) model and BP neural network model are described, and then the gray neural network model is introduced to modify the GM (1, 1) by using BP neural network. The experimental results show that the combination model has good prediction accuracy. © 2015 American Scientific Publishers All rights reserved.
引用
收藏
页码:1112 / 1117
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