• DocumentCode
    2499158
  • Title

    Theory of continued fraction interpolation and its application in non-linear regression

  • Author

    Cao, An-zhao ; Zhu, Xiao-lin ; Zhou, Jin-ming ; Gao, Ting-ting

  • Author_Institution
    Electr. Eng. Dept., Anhui Univ. of Technol. & Sci., Wuhu
  • fYear
    2008
  • fDate
    25-27 June 2008
  • Firstpage
    8078
  • Lastpage
    8081
  • Abstract
    In fact, when it comes to the problem of the relation between variables is non-linear , we can not use linear regression to solve it. We have to use non-linear regression to analysis as to find the resolution. And itpsilas a good method to transform the relation non-linear to that of linear relation. In this paper, a method of rational interpolation, continued fraction interpolation is used to solve the non-linear regression problems. And we find it better than the traditional method of limit square method. Finally, we give examples to illustrate its validity.
  • Keywords
    interpolation; regression analysis; continued fraction interpolation; limit square method; nonlinear regression; rational interpolation; Automation; Intelligent control; Interpolation; Linear regression; Physics; Continued Fraction Interpolation; Non-linear Regression; inverse differences;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Intelligent Control and Automation, 2008. WCICA 2008. 7th World Congress on
  • Conference_Location
    Chongqing
  • Print_ISBN
    978-1-4244-2113-8
  • Electronic_ISBN
    978-1-4244-2114-5
  • Type

    conf

  • DOI
    10.1109/WCICA.2008.4594193
  • Filename
    4594193