DocumentCode
512829
Title
Combination forecasting method for ground surface deformation based on wavelet analysis and BP neural network
Author
Sun, Jialong ; Guo, Jinyun
Author_Institution
Coll. of Mapping Eng., HHIT, Lianyungang, China
Volume
1
fYear
2009
fDate
5-6 Dec. 2009
Firstpage
157
Lastpage
160
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.
Keywords
backpropagation; deformation; geotechnical engineering; mechanical engineering computing; neural nets; shafts; wavelet transforms; BP neural network; combination forecasting method; ground surface deformation; mine shaft; wavelet analysis; wavelet transform; Earth; Monitoring; Neural networks; Predictive models; Protection; Shafts; Surface reconstruction; Surface waves; Wavelet analysis; Wavelet transforms; AR model; BP neural network; combination forecasting; ground surface deformation; wavelet analysis;
fLanguage
English
Publisher
ieee
Conference_Titel
Test and Measurement, 2009. ICTM '09. International Conference on
Conference_Location
Hong Kong
Print_ISBN
978-1-4244-4699-5
Type
conf
DOI
10.1109/ICTM.2009.5412974
Filename
5412974
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