• DocumentCode
    3230305
  • Title

    A perception algorithm for discerning non-linearity

  • Author

    Guo-liang, Li ; Xin-xia, Wang ; Chang-An, Wu

  • Author_Institution
    Center of Network Inf., Xinyang Normal Univ., Xinyang, China
  • fYear
    2010
  • fDate
    23-26 Sept. 2010
  • Firstpage
    783
  • Lastpage
    786
  • Abstract
    This paper puts forward a new improved perception algorithm based on solution region by analyzing the pattern´s solution geometric characteristic in space. The algorithm could find a better solution vector in solution region on condition that the pattern´s linearity is separable. Otherwise, it indicates the linearity isn´t separable. That is, it can discern that the solution region doesn´t exist. Consequently, this algorithm can discern quickly whether the pattern´s linearity is separable in its solution region and solve its convergence effectively, and finally enhance the speed of calculation.
  • Keywords
    geometry; pattern recognition; geometric characteristic; pattern linearity; perception algorithm; solution region; Educational institutions; convergence; pattern; the perception algorithm; the solution region;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Bio-Inspired Computing: Theories and Applications (BIC-TA), 2010 IEEE Fifth International Conference on
  • Conference_Location
    Changsha
  • Print_ISBN
    978-1-4244-6437-1
  • Type

    conf

  • DOI
    10.1109/BICTA.2010.5645224
  • Filename
    5645224