DocumentCode :
2785427
Title :
Optimized GM (1, 1) based on Romber algorithm and quadratic interpolation method
Author :
Li, Bo ; Zhao, Sheng-li ; Fang, Ling
Author_Institution :
Dept. of Fundament Studies, Logistical Eng. Univ., Chongqing, China
fYear :
2009
fDate :
23-25 Oct. 2009
Firstpage :
128
Lastpage :
131
Abstract :
This text analyzed the reason of generating error of GM (1, 1), from the integral calculus angle discrete GM (1, 1). A kind of method putting forward making use of Romberg integral calculus formula and quadratic interpolation method to construct the background value of the model, raised simulation and prediction precision of GM(1,1), and the actual example verify the feasibility and effectiveness of this method.
Keywords :
calculus; grey systems; interpolation; optimisation; Romber algorithm; grey model; integral calculus; optimized GM (1, 1); prediction precision; quadratic interpolation method; Analytical models; Calculus; Differential equations; Ecosystems; Education; Integral equations; Interpolation; Mathematics; Optimization methods; Predictive models; GM (1, 1) model; Romberg integral calculus; background value; quadratic interpolation;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Apperceiving Computing and Intelligence Analysis, 2009. ICACIA 2009. International Conference on
Conference_Location :
Chengdu
Print_ISBN :
978-1-4244-5204-0
Electronic_ISBN :
978-1-4244-5206-4
Type :
conf
DOI :
10.1109/ICACIA.2009.5361136
Filename :
5361136
Link To Document :
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