• DocumentCode
    1897815
  • Title

    Notice of Retraction
    The Study of Gray Ratio for Composable Model Based on Metamodel

  • Author

    Wang Guangyan

  • Author_Institution
    Dept. of Equip. Command & Manage., Ordnance Eng. Coll., Shijiazhuang, China
  • fYear
    2010
  • fDate
    25-26 Dec. 2010
  • Firstpage
    1
  • Lastpage
    5
  • 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.

    Aiming at the intelligibility reduced by composable model when original model substituted by metamodel, the analysis method of gray ratio for composable model is presented. The inherent black box essence of metamodel is analyzed, as well as the inherent gray box essence of composable model. The analysis method of gray ratio for composable model is presented, including the mapping relation between intelligibility and gray ratio, the analysis method of basic gray ratio for composable model, and the analysis method of level gray ratio for composable model. The influence modes are analyzed for the intelligibility reduced by metamodel when applied to composable model from the side of VV&A, and the improvement methods are presented accordingly.
  • Keywords
    large-scale systems; simulation; analysis method; composable model; gray ratio; inherent black box essence; inherent gray box essence; large-scale simulation system; metamodel; Adaptation model; Analytical models; Biological system modeling; Buildings; Data models; Integrated circuit modeling;
  • 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.2010.5678206
  • Filename
    5678206