Title :
An Optimized GM(1,1) Model Based on the Modified Construction Method of Background Value
Author :
Li Hong-Wei ; Liu Qing-you ; Mao Wen-jin
Author_Institution :
Southwest Pet. Univ., Chengdu, China
Abstract :
The construction method of background value has been researched in this paper because it is one key to affect the precision and adaptability of GM(1,1) model. And a new calculation formula of background value has been reestablished based on the literatures. Besides, in order to further improve the precision, the initial value of GM (1,1) prediction formula has been developed and optimized by using the minimum sum of error square. The fitting and predictive results of examples indicate that the new model has higher precision and is suitable for both low and high developing coefficient data sequence.
Keywords :
Gaussian processes; data handling; error analysis; optimisation; GM(1,1) Model; background value; coefficient data sequence; initial value; optimization; prediction formula; Adaptation model; Data models; Differential equations; Fitting; Mathematical model; Performance analysis; Predictive models; 1) model; GM(1; background value; initial value; optimization; reestablishment;
Conference_Titel :
Computational and Information Sciences (ICCIS), 2010 International Conference on
Conference_Location :
Chengdu
Print_ISBN :
978-1-4244-8814-8
Electronic_ISBN :
978-0-7695-4270-6
DOI :
10.1109/ICCIS.2010.17
