• DocumentCode
    1844671
  • Title

    Implementation of String Recognition Algorithm Based on the Principle of Artificial Immunology

  • Author

    Ye, Junmin ; Wang, Junjie ; Dong, Wei ; Qi, Zhichang

  • Author_Institution
    Dept. of Comput. Sci., Central China Normal Univ., Wuhan
  • fYear
    2008
  • fDate
    18-21 Nov. 2008
  • Firstpage
    1777
  • Lastpage
    1782
  • Abstract
    Artificial immune system simulates the principle of lymphocytes in the natural immune system, detects abnormality in objects to be tested through the immune response mechanism. Based on the r-row-matching algorithm, we propose a two-stage r-row-matching algorithm. According to the concept of immunity, the immunity process and mechanism, we design self-set and detector-set by using a sliding window. On this basis, the self-set, the detector-set and other generating algorithm, as well as the algorithm of detector-set training are implemented. Finally, based on the data structure of sliding window, the string recognition algorithm is implemented. Experiments show that the algorithm can effectively carry out string identification.
  • Keywords
    artificial immune systems; data structures; learning (artificial intelligence); string matching; artificial immune system; data structure; detector-set training; self-set mechanism; sliding window; string recognition algorithm; two-stage r-row-matching algorithm; Artificial immune systems; Computational modeling; Computer science; Computer simulation; Data structures; Detectors; Immune system; Monitoring; Object detection; System testing; Artificial Immunology; immune response; sliding window; string recognition;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Young Computer Scientists, 2008. ICYCS 2008. The 9th International Conference for
  • Conference_Location
    Hunan
  • Print_ISBN
    978-0-7695-3398-8
  • Electronic_ISBN
    978-0-7695-3398-8
  • Type

    conf

  • DOI
    10.1109/ICYCS.2008.200
  • Filename
    4709243