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
Link To Document :
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