• 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