• DocumentCode
    1560834
  • Title

    Gene expression programming in prediction

  • Author

    Li, Qu ; Cai, Zhihua ; Jiang, Siwei ; Zhu, Li

  • Author_Institution
    Dept. of Comput. Sci. & Technol., China Univ. of Geosci., Wuhan, China
  • Volume
    3
  • fYear
    2004
  • Firstpage
    2171
  • Abstract
    In order to solve the prediction problem of multiple variables, gene expression programming was used in comparison with genetic programming and linear regression in terms of accuracy and stability. Gene expression programming was chosen for its high performance and easy genetic manipulation comparing with genetic programming. Results show that the model discovered by gene expression programming is much more accurate and stable than the one discovered by genetic programming and linear regression.
  • Keywords
    genetic algorithms; prediction theory; regression analysis; gene expression programming; genetic manipulation; genetic programming; linear regression; multiple variables; prediction problem; stability; Computer science; Gene expression; Genetic programming; Geology; Linear programming; Linear regression; Stability;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Intelligent Control and Automation, 2004. WCICA 2004. Fifth World Congress on
  • Print_ISBN
    0-7803-8273-0
  • Type

    conf

  • DOI
    10.1109/WCICA.2004.1341971
  • Filename
    1341971
    • Link To Document
    https://search.isc.ac/dl/search/defaultta.aspx?DTC=49&DC=1560834