• DocumentCode
    478564
  • Title

    Definition of Danger Signal in Artificial Immune System with Cloud Method

  • Author

    Yang, He ; Liang, Yi-wen ; Chen, Jia

  • Author_Institution
    Sch. of Comput. Sci., Wuhan Univ., Wuhan
  • Volume
    6
  • fYear
    2008
  • fDate
    18-20 Oct. 2008
  • Firstpage
    644
  • Lastpage
    647
  • Abstract
    The definition of danger is one of the most important problems need to be solved in the application of danger theory in artificial immune system. Cloud model is an effective tool in transforming between qualitative concepts and their quantitative expressions. This paper uses the concept of cloud model to abstract the character of parameters of computer system, and consequently present the definition of danger signal. Integrate various danger signals the definition of danger is got. At last, a cooperating stimulate model including both self-nonself recognition method and danger recognition method is presented.
  • Keywords
    artificial immune systems; artificial immune system; cloud method; danger signal; qualitative concepts; self-nonself recognition method; Application software; Artificial immune systems; Cloud computing; Computer science; Computer science education; Helium; Immune system; Laboratories; Software engineering; Uncertainty; Artificial Immunology; Cloud Model; Danger Theory;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Natural Computation, 2008. ICNC '08. Fourth International Conference on
  • Conference_Location
    Jinan
  • Print_ISBN
    978-0-7695-3304-9
  • Type

    conf

  • DOI
    10.1109/ICNC.2008.711
  • Filename
    4667914