• DocumentCode
    569433
  • Title

    Fractional Order Relative Correlation Algorithm of Uncertain Time Sequence

  • Author

    Hou, Mingliang ; Liu, Yuran ; Fu, Yanglie

  • Author_Institution
    Sch. of Copmputer Eng., Huaihai Inst. of Technol., Lianyungang, China
  • fYear
    2012
  • fDate
    17-19 Aug. 2012
  • Firstpage
    647
  • Lastpage
    650
  • Abstract
    In order to improve the correlation accuracy of correlation algorithm, the fractional order relative correlation algorithm of uncertain time sequences is proposed in this paper. By taking advantage of the memory property of fractional order, the algorithm introduces the measurement of fractional order differential for the local trend of time sequence into the correlation algorithm and also analyzes the influences of differential order and noise upon correlation accuracy, provides selection relations between noise level and order. It has been proven with examples that the correlation accuracy of fractional order relative correlation algorithm has increased by two orders of magnitude as compared with relative correlation.
  • Keywords
    correlation theory; sequences; time series; correlation accuracy; correlation algorithm; fractional order differential measurement; fractional order relative correlation algorithm; memory property; noise level; uncertain time sequence; fractional order; relative association; time series; uncertainty;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Computational and Information Sciences (ICCIS), 2012 Fourth International Conference on
  • Conference_Location
    Chongqing
  • Print_ISBN
    978-1-4673-2406-9
  • Type

    conf

  • DOI
    10.1109/ICCIS.2012.160
  • Filename
    6300616