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Strategic Study of CAE >> 2003, Volume 5, Issue 8

The Optimization of Grey Model GM (1,1)

College of Economics and Management, Nanjing University of Aeronautics and Astronautics , Nanjing 210016 , China

Funding project:教育部博士学科点科研基金资助项目(20020287001) Received: 2002-11-18 Revised: 2002-12-26 Available online: 2003-08-20

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Abstract

This paper analyzes the reason that grey model GM (1,1) often makes errors in simulated data. By contrasting the optimum one to the GM (1,1) about the simulation, it can be concluded that the structure method of background value in grey model GM (1,1) has an important influence on the prediction and adaptability of the model. The optimum background value makes grey model GM (1,1) have better fitting and forecasting precision.

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References

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