• DocumentCode
    296143
  • Title

    Using genetic algorithms with grammar encoding to generate neural networks

  • Author

    Vonk, E. ; Jain, L.C. ; Johnson, R.

  • Author_Institution
    Dept. of Electr. Eng., Twente Univ., Enschede, Netherlands
  • Volume
    4
  • fYear
    1995
  • fDate
    Nov/Dec 1995
  • Firstpage
    1928
  • Abstract
    Kitano´s approach to neural network design is extended in the sense that not just the neural network structure, but also the values of the weights are coded in the chromosome. Experimental results are presented demonstrating the capability of the technique in the solution of a standard test problem
  • Keywords
    backpropagation; encoding; feedforward neural nets; genetic algorithms; grammars; Kitano´s method; backpropagation; chromosome; feedforward neural networks; genetic algorithms; grammar encoding; matrix grammar; weights; Australia; Biological cells; Control systems; Encoding; Genetic algorithms; Knowledge engineering; Neural networks; Systems engineering and theory; Testing; Weapons;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Neural Networks, 1995. Proceedings., IEEE International Conference on
  • Conference_Location
    Perth, WA
  • Print_ISBN
    0-7803-2768-3
  • Type

    conf

  • DOI
    10.1109/ICNN.1995.488965
  • Filename
    488965
    • Link To Document
    https://search.isc.ac/dl/search/defaultta.aspx?DTC=49&DC=296143