• DocumentCode
    1463992
  • Title

    Periodic activation function for fast on-line EKF training and pruning

  • Author

    Chang, Sheng-Jiang ; Wong, Kwok-Wo ; Leung, Chi-sing

  • Author_Institution
    Dept. of Electron. Eng., City Univ. of Hong Kong, Kowloon Tong, Hong Kong
  • Volume
    34
  • Issue
    23
  • fYear
    1998
  • fDate
    11/12/1998 12:00:00 AM
  • Firstpage
    2255
  • Lastpage
    2257
  • Abstract
    In the use of the local extended Kalman filter algorithm for network training and pruning, the authors propose replacing the monotonical increasing sigmoid activation function with a periodic function. Computer simulations show that the rate of convergence is substantially improved and that more insignificant weights can be pruned
  • Keywords
    Kalman filters; convergence; feedforward neural nets; learning (artificial intelligence); computer simulation; convergence; feedforward neural network; local extended Kalman filter algorithm; on-line training; periodic activation function; pruning;
  • fLanguage
    English
  • Journal_Title
    Electronics Letters
  • Publisher
    iet
  • ISSN
    0013-5194
  • Type

    jour

  • DOI
    10.1049/el:19981554
  • Filename
    739652
    • Link To Document
    https://search.isc.ac/dl/search/defaultta.aspx?DTC=49&DC=1463992