• DocumentCode
    1885850
  • Title

    Notice of Retraction
    Parameter Optimized of GM (1,1) Model and Its Application in Subsidence and Deformation of High Building

  • Author

    Caiyun Gao ; Ning Gao

  • Author_Institution
    Dept. of Survey & Urban Spatial Inf. Eng., Henan Univ. of Urban Constr., Pingdingshan, China
  • fYear
    2010
  • fDate
    25-26 Dec. 2010
  • Firstpage
    1
  • Lastpage
    4
  • Abstract
    Notice of Retraction

    After careful and considered review of the content of this paper by a duly constituted expert committee, this paper has been found to be in violation of IEEE´s Publication Principles.

    We hereby retract the content of this paper. Reasonable effort should be made to remove all past references to this paper.

    The presenting author of this paper has the option to appeal this decision by contacting TPII@ieee.org.

    During construction of high buildings, subsidence increases as load increase, and safe or not and development trend are need to be known, so the method for predicating the deformation of high building is presented through the optimized method of grey system theory. The GM(1, 1) model establishing, the raw sequence´s transformation and model optimized method are discussed, and the parameter optimized method of grey system is given. By using the optimized model to analyze and predict the deformation of high building and comparing this optimized model with other models, we finally draw a conclusion that this optimized model is able to improve the precision of prediction and therefore can be applied to deformation data analysis.
  • Keywords
    deformation; grey systems; optimisation; structural engineering; GM (1,1) model; building construction; deformation data analysis; grey system theory; parameter optimization; subsidence; Accuracy; Analytical models; Buildings; Computational modeling; Data models; Deformable models; Predictive models;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Information Engineering and Computer Science (ICIECS), 2010 2nd International Conference on
  • Conference_Location
    Wuhan
  • ISSN
    2156-7379
  • Print_ISBN
    978-1-4244-7939-9
  • Type

    conf

  • DOI
    10.1109/ICIECS.2010.5677696
  • Filename
    5677696