Discussing of Subsidence Monitor Data Processing Methods Based on Improved GM (1, 1)

Chang Jun Huang; Yuan Zhi Cao; Li Min Hu; Qing Shan Zhou

doi:10.4028/www.scientific.net/AMM.204-208.2800

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HomeApplied Mechanics and MaterialsApplied Mechanics and Materials Vols. 204-208Discussing of Subsidence Monitor Data Processing...

Discussing of Subsidence Monitor Data Processing Methods Based on Improved GM (1, 1)

Abstract:

Based on the grey system theory, through the analysis of the theory flaw of the GM (1,1) prediction model, taking into the linear trend and the exponential growth trend of the settlement monitoring data series, and using the sequence operator role to enhance the smoothness of the original sequence data, combined with the characteristics of GM (1,1) and the linear regression, this paper presents a new and improved combination forecasting mode. Compared the traditional model, the accuracy of the improved method has been greatly enhanced, and the improved method will better meet the practical requirements.

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Periodical:

Applied Mechanics and Materials (Volumes 204-208)

Pages:

2800-2805

DOI:

https://doi.org/10.4028/www.scientific.net/AMM.204-208.2800

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Online since:

October 2012

Authors:

Chang Jun Huang, Yuan Zhi Cao, Li Min Hu, Qing Shan Zhou

Keywords:

Combination Model, Forecast, GM(1,1) Model, Linear Regression, Series Operator

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References

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