• DocumentCode
    1359214
  • Title

    Deterministic weight evolution algorithm for solving local minima problem

  • Author

    Ng, Sin-Chun ; Cheung, Chi-Chung ; Shu-Hung Leung

  • Author_Institution
    Dept. of Comput. & Math., Inst. of Vocational Educ., Chai Wan, Hong Kong
  • Volume
    36
  • Issue
    12
  • fYear
    2000
  • fDate
    6/8/2000 12:00:00 AM
  • Firstpage
    1039
  • Lastpage
    1041
  • Abstract
    A new algorithm is proposed to enable local minima to be escaped from by changing the weights of a multi-layer neural network in a deterministic way. Simulation results show that the new algorithm always outperforms other traditional methods in achieving global convergence
  • Keywords
    backpropagation; convergence; evolutionary computation; feedforward neural nets; deterministic weight evolution algorithm; global convergence; local minima problem; multilayer feedforward neural networks; supervised learning;
  • fLanguage
    English
  • Journal_Title
    Electronics Letters
  • Publisher
    iet
  • ISSN
    0013-5194
  • Type

    jour

  • DOI
    10.1049/el:20000747
  • Filename
    852188
    • Link To Document
    https://search.isc.ac/dl/search/defaultta.aspx?DTC=49&DC=1359214