• DocumentCode
    2020470
  • Title

    The optimization for sequences relational analysis

  • Author

    Chang, Bao Rong

  • Author_Institution
    Dept. of Electr. Eng., Cheng Shiu Inst. of Technol., Kaohsiung, Taiwan
  • Volume
    5
  • fYear
    2001
  • fDate
    2001
  • Firstpage
    3146
  • Abstract
    A type of relational measure called the optimal relational grade is introduced. This grade is used to measure or analyze the nonlinear relation between sequences. In effect, this optimal relational grade consists of two aspect measures: an approximation measure and a similarity measure for sequences, and hence can be viewed as a synthesis measure for distinguishing what is the strength of the nonlinear relation between sequences. The maximum entropy method is applied to the linear combination of approximation and similarity results in this optimal relational grade. Finally, the verification of this measurement is asserted through means of examining two examples
  • Keywords
    maximum entropy methods; optimisation; sequences; statistical analysis; approximation measure; maximum entropy method; nonlinear relation; optimal relational grade; relational analysis; similarity measure; synthesis measure; Distance measurement; Electric variables measurement; Entropy; Equations; Extraterrestrial measurements; Linear approximation; Sampling methods; Shape measurement; Statistical analysis; Statistics;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Systems, Man, and Cybernetics, 2001 IEEE International Conference on
  • Conference_Location
    Tucson, AZ
  • ISSN
    1062-922X
  • Print_ISBN
    0-7803-7087-2
  • Type

    conf

  • DOI
    10.1109/ICSMC.2001.972002
  • Filename
    972002