NDLI: Combination forecasting method for ground surface deformation based on wavelet analysis and BP neural network

Content Provider	IEEE Xplore Digital Library
Author	Jialong Sun Jinyun Guo
Copyright Year	2009
Description	Author affiliation: College of Mapping Engineering, HuaiHai Institute of Technology, HHIT, Lianyungang , China (Jialong Sun) \|\| College of Geodesy and Geomatics, Shandong University of Science and Technology, SDUST, Qingdao, China (Jinyun Guo)
Abstract	Some displacement and deformation for the mine shaft over past many years' working may occur, which will cause heavy harm to both shaft itself and workers in well. Curtain grouting is one of efficient methods to protect the shaft and the earth's surface around the shaft from the harm. The deformation caused by grouting around mine shaft is monitored with a reasonable scheme. The monitoring data is processed with the Wavelet Transform to decompose and reconstruct in order to acquire the similar and detail sequences. The detected data is forecasted separately by the suited BP model and AR model. The forecast results will be the ultimate combination of results. After comparing between the actual observation values and forecasting values, it is found that the precision of ultimate combination of results is most high
Starting Page	157
Ending Page	160
File Size	660022
Page Count	4
File Format	PDF
ISBN	9781424446995
DOI	10.1109/ICTM.2009.5412974
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2009-12-05
Publisher Place	Hong Kong
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Wavelet transforms AR model Ground surface deformation Predictive models Combination forecasting Wavelet analysis Shafts Earth Surface reconstruction BP neural network Surface waves Neural networks Protection Monitoring
Content Type	Text
Resource Type	Article

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