Title :
Research on Chinese Rural GDP Forecasting Using Grey Model Optimized by PSO Method
Author :
Shang, Wei ; Pei, Guifen
Author_Institution :
Sch. of Econ., Hebei Univ., Baoding
Abstract :
The rural GDP forecasting is an important decision basis for government as well as rural relative corporations. The grey model is adopted here to simulate the exponential increasing trend of it. Because of the mean approximation in dispersing the first order differential equation affect the forecasting precise of grey model itself, the PSO method is used to search the optimum proportion point in dispersing. The experiments show that the forecasting result in rural GDP is improved.
Keywords :
economic indicators; forecasting theory; grey systems; optimisation; Chinese rural GDP forecasting; PSO method; first order differential equation; grey model; gross domestic product; particle swarm optimization; Differential equations; Economic forecasting; Economic indicators; Electronic mail; Government; Least squares methods; Optimization methods; Power generation economics; Predictive models; Statistics; PSO; forecasting; grey model; rural GDP;
Conference_Titel :
Industrial and Information Systems, 2009. IIS '09. International Conference on
Conference_Location :
Haikou
Print_ISBN :
978-0-7695-3618-7
DOI :
10.1109/IIS.2009.74
