• DocumentCode
    2837228
  • Title

    Immune Network Theory Based Artificial Immune System and Its Application

  • Author

    Dai, Hongwei ; Li, Cunhua

  • Author_Institution
    Sch. of Comput. Eng., Huaihai Inst. of Technol., Lianyungang, China
  • fYear
    2009
  • fDate
    1-3 Nov. 2009
  • Firstpage
    257
  • Lastpage
    260
  • Abstract
    Immune network theory proposed by Jerne indicates that the immune system, even in the absence of foreign stimuli, must display an eigen-behavior resulting from cell-cell interactions within the immune system. In this paper, we propose a novel cell-interaction model, in which antibody at idiotypic level i interacts with cells at constant levels alpha1 (index of stimulation cell) and alphaN (index of inhibition cell). Simulations on pattern recognition are performed to evaluate the proposed artificial immune model´s performance.
  • Keywords
    artificial immune systems; pattern recognition; antibody; artificial immune system; cell-interaction model; eigen-behavior; immune network theory; pattern recognition; Artificial immune systems; Artificial intelligence; Biological system modeling; Computer displays; Image recognition; Immune system; Intelligent networks; Intelligent systems; Pattern recognition; Performance evaluation; application; artificial immune system; immune network theory;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Intelligent Networks and Intelligent Systems, 2009. ICINIS '09. Second International Conference on
  • Conference_Location
    Tianjin
  • Print_ISBN
    978-1-4244-5557-7
  • Electronic_ISBN
    978-0-7695-3852-5
  • Type

    conf

  • DOI
    10.1109/ICINIS.2009.72
  • Filename
    5364513