DocumentCode
3674474
Title
Grey Discrete time-varying Model and Its application
Author
Liyun Wu; Yingjian Qi; Zhengpeng Wu
Author_Institution
School of Science, Communication University of China, Beijing, China
fYear
2015
Firstpage
242
Lastpage
246
Abstract
Although the Grey Discrete Model and its improved models have been successfully employed in some fields and have promising results, the prediction results may be inaccurate sometime. We bring a grey discrete parameters model by introducing quadratic time-varying terms, which is called as quadratic time-varying parameters discrete grey model (referred to as QDGM (1, 1)). The paper investigates the properties of the new model, and concludes that QDGM (1, 1) possesses white exponential law coincidence, linear law coincidence, quadratic law coincidence. Then, we optimize the iterative starting value of the new model. Finally, the new model is compared with three discrete grey models using the same data instances. It is proved that the new model greatly improves the simulation and prediction precision.
Keywords
"Predictive models","Iron"
Publisher
ieee
Conference_Titel
Grey Systems and Intelligent Services (GSIS), 2015 IEEE International Conference on
Print_ISBN
978-1-4799-8374-2
Type
conf
DOI
10.1109/GSIS.2015.7301862
Filename
7301862
Link To Document