• DocumentCode
    2898116
  • Title

    Artificial neural networks and artificial immune systems: similarities and differences

  • Author

    Dasgupta, Dipankar

  • Author_Institution
    Dept. of Math. Sci., Memphis State Univ., TN, USA
  • Volume
    1
  • fYear
    1997
  • fDate
    12-15 Oct 1997
  • Firstpage
    873
  • Abstract
    Both the nervous system and the immune system are complex biological systems. Recognition and categorization are the major functions of both systems. The information processing principles of these natural systems inspired in developing intelligent problem-solving techniques, namely, the artificial neural network (ANN) and the artificial immune system (AIS). Though ANNs are well established techniques and are widely used, AISs have received very little attention and there have been relatively few applications of the AIS. This paper briefly describes some of the similarities and differences of these two systems from a computational viewpoint. The paper also reports some preliminary comparative results of the artificial systems
  • Keywords
    biocybernetics; learning systems; neural nets; artificial immune systems; artificial neural network; information processing; intelligent problem-solving; nervous system; Artificial immune systems; Artificial intelligence; Artificial neural networks; Biological neural networks; Biological systems; Immune system; Information processing; Lymph nodes; Nervous system; Neurons;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Systems, Man, and Cybernetics, 1997. Computational Cybernetics and Simulation., 1997 IEEE International Conference on
  • Conference_Location
    Orlando, FL
  • ISSN
    1062-922X
  • Print_ISBN
    0-7803-4053-1
  • Type

    conf

  • DOI
    10.1109/ICSMC.1997.626212
  • Filename
    626212