Title: THE FORECAST AND APPLICATION OF IMPROVED GREY GM(1,N) MODEL BASED ON BP NEURAL NETWORK IN ECONOMY——Taking Henan Province economy as the example
Abstract: A new method is proposed to revise the error of GM( 1,N) forecast model in this paper. The BP neural network is used to carry out the forecast for the forecast model residual,and the obtained the residual predicted value is then applied to the predicted modeling value to revise the residual in order to reduce influence of the factor variable prediction error to the behavior variable forecast. The practice indicates that the improved model may help GM(1,N) model to enhance the forecast precision effectively.
Publication Year: 2009
Publication Date: 2009-01-01
Language: en
Type: article
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