Title: Combination improvement methods for background value optimized GM (1, 1) model
Abstract: In connection with the improvement of the fitting effect of modeling,this paper puts forward the improvement scheme for accumulating generation sequence based on the GM(1.1) model.To further optimize and revise the improved grey model,a combination forecasting is utilized,the BP neural network forecast algorithm is integrated and the the metabolism grey model theory as the BP-GM(1.1) and other equal dimension new information model are introduced.This model takes full advantage of the assets of the two forecasting methods and also reduces the errors in forecasting using single model.The result of data fitting indicates: BP-GM(1.1) model has a better fitting accuracy.The model proposed can be widely applied.
Publication Year: 2013
Publication Date: 2013-01-01
Language: en
Type: article
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Cited By Count: 1
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