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 :
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