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