• DocumentCode
    822689
  • Title

    Combining genetic optimisation with hybrid learning algorithm for radial basis function neural networks

  • Author

    Guo, Lin ; Huang, De-Shuang ; Zhao, Wenbo

  • Author_Institution
    Inst. of Intelligent Machines, Chinese Acad. of Sci., Hefei, China
  • Volume
    39
  • Issue
    22
  • fYear
    2003
  • Firstpage
    1600
  • Lastpage
    1601
  • Abstract
    A two-step learning scheme for radial basis function neural networks (RBFNN) is proposed. A genetic algorithm initially optimises the parameters of the RBFNN and a hybrid learning algorithm adjusts these parameters further. The designed network is not only parsimonious but also has better generalisation performance.
  • Keywords
    genetic algorithms; learning (artificial intelligence); radial basis function networks; RBF neural networks; RBFNN; generalisation performance; genetic algorithm; genetic optimisation; hybrid learning algorithm; radial basis function neural networks; two-step learning scheme;
  • fLanguage
    English
  • Journal_Title
    Electronics Letters
  • Publisher
    iet
  • ISSN
    0013-5194
  • Type

    jour

  • DOI
    10.1049/el:20031021
  • Filename
    1244121
    • Link To Document
    https://search.isc.ac/dl/search/defaultta.aspx?DTC=49&DC=822689