DocumentCode
3449941
Title
Research on a self-adaptive prediction model of logistics requirement based on Kalman Filter
Author
Du Qiu ; Su Xisheng ; Xu Zijun
Author_Institution
Quartermaster Dept., Mil. Econ. Acad., Wuhan, China
Volume
2
fYear
2011
fDate
20-22 Aug. 2011
Firstpage
268
Lastpage
271
Abstract
As the deficiency of traditional forecast method, a new self-adaptive forecast model of logistics requirement is established in this paper, which provides a new way to solve the problem about this forecast, and the self-adaptive mechanism based on Kalman Filter is discussed in detail. At last an instance is given to test this self-adaptive forecast model.
Keywords
Kalman filters; demand forecasting; logistics; Kalman filter; self-adaptive prediction model; self-adaptive self-adaptive logistics requirement forecast model; Computational modeling; Equations; Forecasting; Kalman filters; Logistics; Mathematical model; Predictive models; Kalman Filter; logistics requirement; prediction mode; self-adaptive;
fLanguage
English
Publisher
ieee
Conference_Titel
Information Technology and Artificial Intelligence Conference (ITAIC), 2011 6th IEEE Joint International
Conference_Location
Chongqing
Print_ISBN
978-1-4244-8622-9
Type
conf
DOI
10.1109/ITAIC.2011.6030327
Filename
6030327
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