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
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;
Conference_Titel :
Information Technology and Artificial Intelligence Conference (ITAIC), 2011 6th IEEE Joint International
Conference_Location :
Chongqing
Print_ISBN :
978-1-4244-8622-9
DOI :
10.1109/ITAIC.2011.6030327
