• DocumentCode
    2474458
  • Title

    Automatic identification of fractal scaling region in GP algorithm

  • Author

    Chengdong, Wang ; Dan, Ling ; Qiang, Miao

  • Author_Institution
    Sch. of Mechatron. Eng., Univ. of Electron. Sci. & Technol. of China, Chengdu, China
  • fYear
    2010
  • fDate
    17-19 Dec. 2010
  • Firstpage
    262
  • Lastpage
    265
  • Abstract
    The identification of the linear segment in the double logarithmic curve, also known as scaling region or non-scale range, is important in Grassberger-Procaccia (GP) algorithm. The second-order derivative of log-log curves within the scaling region should be zero or near to zero because the line is nearly straight in that region. Based on this idea, a new method to automatically determine the fractal scaling region is presented. The time series data of the Lorenz strange attractor is applied to validate the method. The numerical results show that the scaling region can be determined accurately and automatically by this method which is both simple and with clear physical meaning.
  • Keywords
    chaos; curve fitting; fractals; time series; GP algorithm; Grassberger-Procaccia algorithm; Lorenz strange attractor; automatic identification; double logarithmic curve; fractal scaling region; linear segment identification; log-log curves; time series data; Chaos; Computers; Correlation; Fractals; Heuristic algorithms; Mathematical model; Time series analysis; Fractal; correlation dimension; scaling region; second-order derivative;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Apperceiving Computing and Intelligence Analysis (ICACIA), 2010 International Conference on
  • Conference_Location
    Chengdu
  • Print_ISBN
    978-1-4244-8025-8
  • Type

    conf

  • DOI
    10.1109/ICACIA.2010.5709897
  • Filename
    5709897