DocumentCode
1850276
Title
Research on general weighted averages method of equipment material demands forecasting
Author
Wang, Tie-Ning ; Xu, Sheng-liang ; Cao, Yu ; Jia, Hai-tao
Author_Institution
Dept. of Tech. Support Eng., Acad. of Armored Force Eng., Beijing, China
Volume
2
fYear
2011
fDate
13-15 May 2011
Firstpage
669
Lastpage
672
Abstract
On the basis of equipment material demands forecasting by establishing gray GM(1,1) model and BP neural net model, this paper builds up the mathematics model General Weighted Averages Forecasting Method that can impend over the real consumption. The new method can conquer the defect of simply using statistics analysis, gray system theory and neural net theory. It can also fully utilize the information offered by the model, and can gain more accurate forecasting results.
Keywords
backpropagation; demand forecasting; forecasting theory; materials; neural nets; statistical analysis; BP neural net model; equipment material demand forecasting; general weighted average method; gray system theory; statistics analysis; Analytical models; Casting; Data models; Forecasting; Materials; Mathematical model; Predictive models; Equipment material; demands forecasting; general weighted averages method;
fLanguage
English
Publisher
ieee
Conference_Titel
Business Management and Electronic Information (BMEI), 2011 International Conference on
Conference_Location
Guangzhou
Print_ISBN
978-1-61284-108-3
Type
conf
DOI
10.1109/ICBMEI.2011.5918001
Filename
5918001
Link To Document