• DocumentCode
    3616058
  • Title

    Artificial immune systems and ANN in PMR coding

  • Author

    S. Sahan;R. Ceylan;S. Gunes

  • Author_Institution
    Selcuk Univ., Konya, Turkey
  • fYear
    2004
  • fDate
    6/26/1905 12:00:00 AM
  • Firstpage
    121
  • Lastpage
    124
  • Abstract
    This study aims at introducing a new artificial intelligence technique beginning to be known in Turkey to model the human immune system. Artificial immune systems (AIS) are increasing their application areas day by day and becoming a problem solving technique due to their performance in these applications. ABNET (De Castro et al. (2000)) is an hybrid system that is a combination of artificial neural networks and immune based metaphors. In this study, the coding in PMR (private mobile radio) is performed with ABNET. To evaluate the results, the same coding problem is solved with an ANN system. With respect to the results of both systems, the applicability of ABNET to real world problems is discussed.
  • Keywords
    "Artificial immune systems","Artificial neural networks","Immune system","Electronic mail","Artificial intelligence","Humans","Problem-solving","Land mobile radio","Ambient intelligence","Robots"
  • Publisher
    ieee
  • Conference_Titel
    Signal Processing and Communications Applications Conference, 2004. Proceedings of the IEEE 12th
  • Print_ISBN
    0-7803-8318-4
  • Type

    conf

  • DOI
    10.1109/SIU.2004.1338273
  • Filename
    1338273