• DocumentCode
    1806381
  • Title

    A new mathematical modeling method based on space geometry theory

  • Author

    Yaowu, Ji

  • Author_Institution
    Xi´´an Railway Vocational & Tech. Inst., Xi´´an, China
  • Volume
    4
  • fYear
    2011
  • fDate
    24-26 Dec. 2011
  • Firstpage
    2486
  • Lastpage
    2489
  • Abstract
    Regression analysis is a kind of mathematical modeling approach to find the relation which hidden in variables through experiment and observation. This method can describe a perfect relation in many problems usually. But the amount of computation is high because we must use a complexity mathematical expression when wanted to get a satisfying result. This paper analyzes mathematical behavior of linear regression in high dimensional space, and finds the relation between variables and their functions with dependent variables in measurement space. Experiment proved the approach is well-defined, low computation complexity and effective.
  • Keywords
    geometry; regression analysis; complexity mathematical expression; dependent variables; linear regression analysis; mathematical behavior; mathematical modeling method; measurement space; space geometry theory; Indexes; Radio access networks; high dimensional space geometry; linear regression; mathematical modeling;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Computer Science and Network Technology (ICCSNT), 2011 International Conference on
  • Conference_Location
    Harbin
  • Print_ISBN
    978-1-4577-1586-0
  • Type

    conf

  • DOI
    10.1109/ICCSNT.2011.6182474
  • Filename
    6182474