• DocumentCode
    3080293
  • Title

    A Novel Modified Genetic Algorithm for Training Wavelet Neural Networks

  • Author

    Li Jing ; Wang Jin-Jia ; Hou Chun-Liang ; Hong, Wen-xue ; Hong Wen-Xue

  • Author_Institution
    Coll. of Sci., Yanshan Univ., Qinhuangdao, China
  • fYear
    2010
  • fDate
    17-19 Sept. 2010
  • Firstpage
    775
  • Lastpage
    778
  • Abstract
    Inspired by the genetic algorithm (GA) and wavelet neural networks, a novel modified GA algorithm is proposed for finding the optimal number of hidden layer as well as the networks parameters. The efficacy of the proposed algorithm in function approximation is demonstrated through theoretical analysis and experimental results.
  • Keywords
    function approximation; genetic algorithms; learning (artificial intelligence); neural nets; function approximation; genetic algorithm; wavelet neural network training; Approximation algorithms; Artificial neural networks; Function approximation; Gallium; Genetic algorithms; Signal processing algorithms; Training; Wavelet Neural Networks; function approximation; genetic algorithm;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Pervasive Computing Signal Processing and Applications (PCSPA), 2010 First International Conference on
  • Conference_Location
    Harbin
  • Print_ISBN
    978-1-4244-8043-2
  • Electronic_ISBN
    978-0-7695-4180-8
  • Type

    conf

  • DOI
    10.1109/PCSPA.2010.193
  • Filename
    5635502
    • Link To Document
    https://search.isc.ac/dl/search/defaultta.aspx?DTC=49&DC=3080293