• DocumentCode
    2556763
  • Title

    Representing evaluation of computer Chinese chess by artificial neural network using genetic algorithm

  • Author

    Wang, Jiao ; Sizhong

  • Author_Institution
    Coll. of Inf. Sci. & Eng., Northeastern Univ., Shenyang
  • fYear
    2008
  • fDate
    2-4 July 2008
  • Firstpage
    1226
  • Lastpage
    1232
  • Abstract
    The evaluation is the key to computer Chinese chess, which is represented by ANN in this paper. Then, it is proposed that the connection weights of neurons of ANN can be adjusted by genetic algorithm (GA). Encoding method, fitness function, and genetic operators are given, thus the training algorithm by GA is investigated. Experiments show that the proposed algorithm performs better than back-propagation.
  • Keywords
    computer games; genetic algorithms; learning (artificial intelligence); neural nets; ANN; GA; artificial neural network; back propagation; computer Chinese chess; encoding method; genetic algorithm; machine leaning method; Artificial neural networks; Computer networks; Genetic algorithms; Artificial intelligence (ANN); Genetic algorithm (GA); computer Chinese chess; evaluation;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Control and Decision Conference, 2008. CCDC 2008. Chinese
  • Conference_Location
    Yantai, Shandong
  • Print_ISBN
    978-1-4244-1733-9
  • Electronic_ISBN
    978-1-4244-1734-6
  • Type

    conf

  • DOI
    10.1109/CCDC.2008.4597510
  • Filename
    4597510
    • Link To Document
    https://search.isc.ac/dl/search/defaultta.aspx?DTC=49&DC=2556763