Research on Chinese Rural GDP Forecasting Using Grey Model Optimized by PSO Method

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.