• DocumentCode
    289780
  • Title

    General asymmetric neural networks and structure design by genetic algorithms: a learning rule for temporal patterns

  • Author

    Bornholdt, Stefan ; Graudenz, Dirk

  • Author_Institution
    Inst. fur Theor. Phys., Heidelberg Univ., Germany
  • fYear
    1993
  • fDate
    17-20 Oct 1993
  • Firstpage
    595
  • Abstract
    A learning algorithm based on genetic algorithms for asymmetric neural networks with an arbitrary structure is presented. It is suited for the learning of temporal patterns and leads to stable neural networks with feedback
  • Keywords
    feedback; genetic algorithms; learning (artificial intelligence); neural nets; feedback; general asymmetric neural networks; genetic algorithms; learning rule; structure design; temporal patterns; Algorithm design and analysis; Artificial neural networks; Biological neural networks; Biological system modeling; Brain modeling; Evolution (biology); Genetic algorithms; Genetic engineering; Neural networks; Neurofeedback;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Systems, Man and Cybernetics, 1993. 'Systems Engineering in the Service of Humans', Conference Proceedings., International Conference on
  • Conference_Location
    Le Touquet
  • Print_ISBN
    0-7803-0911-1
  • Type

    conf

  • DOI
    10.1109/ICSMC.1993.384939
  • Filename
    384939
    • Link To Document
    https://search.isc.ac/dl/search/defaultta.aspx?DTC=49&DC=289780