• DocumentCode
    2021334
  • Title

    Fabric Drape Fusion Evaluation on Support Vector Machine

  • Author

    Gui, LIN Zhi ; Wei, FANG ; Zhi, HUANG Wei

  • Author_Institution
    Sch. of Inf. & Commun. Eng., Tianjin Polytech. Univ., Tianjin
  • Volume
    1
  • fYear
    2008
  • fDate
    17-18 Oct. 2008
  • Firstpage
    356
  • Lastpage
    359
  • Abstract
    By the feature of fabrics drape data and the theory of support vector machine (SVM), we introduce fusion technique and present a model based on hybrid kernel to estimate fabric drape in this paper. The model is nonlinear model. To the assessment precision of fabric drape, results of the experiments on hybrid kernel model are better than those of the experiments on epsiv-SVM model, which illuminates the assessment model of fabric drape on hybrid kernel is feasible. On the other hand, the assessment precision of fabric drape on hybrid kernel model is higher than on Mercer kernel model, which indicates the assessment model is valid.
  • Keywords
    fabrics; sensor fusion; support vector machines; fabric drape fusion evaluation; hybrid kernel model; support vector machine; Computational intelligence; Data engineering; Error analysis; Fabrics; Kernel; Pattern recognition; Predictive models; Structural engineering; Support vector machine classification; Support vector machines; Fabric Drape; Fusion Evaluation; Support Vector Machine;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Computational Intelligence and Design, 2008. ISCID '08. International Symposium on
  • Conference_Location
    Wuhan
  • Print_ISBN
    978-0-7695-3311-7
  • Type

    conf

  • DOI
    10.1109/ISCID.2008.174
  • Filename
    4725626