Industrial Output Prediction Research Based on Combination Forecasting Model
Li Zhipeng1，LiWei2，Liu Zhijie1,3
(1. Key Laboratory of Information and Computing Science of Guizhou Province, Guizhou Normal University, Guiyang 550001
2.Guizhou Province Development and Reform Commission
3. Network and Information Center of Guizhou Normal University
Abstract：For predicting complex economic data, selecting suitable prediction model is the key to improve the prediction accuracy.
This paper uses the combination of grey model and regression model to predict the high technology industry output in Guizhou.
Taking the advantages of this combination model can improve the linear regression model by considering the exponential growth
and improve the grey model by considering the linear factor, so as to achieve the goal of improving the prediction accuracy. And the
computer numerical simulation results show the effectiveness of the combination forecasting model.
2015, Vol. 1 
