DocumentCode :
2837870
Title :
The development of integrated simulation model for prediction
Author :
Li, Juanfei ; Li, Pengfei ; Liu, Lin
Author_Institution :
Sch. of Sci., Xi´´an Univ. of Archit. & Technol., Xi´´an, China
fYear :
2009
fDate :
17-19 June 2009
Firstpage :
4813
Lastpage :
4816
Abstract :
We used both linear regression models (RM) and grey model (GM) to predict the gross domestic product (GDP) of Shaanxi province for last few years. Then we proposed a new combination grey model (CGM) based on RM and GM to predict GDP of Shaanxi province again. The simulation results from CGM are much more precise than those from simple models (RM and GM). The whole calculation process can be conducted by MATLAB computer software.
Keywords :
economic indicators; grey systems; modelling; regression analysis; simulation; MATLAB computer software; combination grey model; gross domestic product; integrated simulation model; linear regression model; Economic indicators; Electronic mail; Equations; Information management; Investments; Mathematical model; Predictive models; Regression analysis; Testing; User-generated content; Combination Grey Model; Grey Model (1,1); Least Squared Criterion; Regression Analysis; Weight-coefficient;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Control and Decision Conference, 2009. CCDC '09. Chinese
Conference_Location :
Guilin
Print_ISBN :
978-1-4244-2722-2
Electronic_ISBN :
978-1-4244-2723-9
Type :
conf
DOI :
10.1109/CCDC.2009.5194870
Filename :
5194870
Link To Document :
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