• DocumentCode
    1429841
  • Title

    Adaptive training and pruning in feedforward networks

  • Author

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

  • Author_Institution
    Inst. of Modern Opt., Nankai Univ., Tianjin, China
  • Volume
    37
  • Issue
    2
  • fYear
    2001
  • fDate
    1/18/2001 12:00:00 AM
  • Firstpage
    106
  • Lastpage
    107
  • Abstract
    A local extended Kalman filter training and pruning approach is proposed to train feedforward networks with the goal of reducing the computational complexity and storage requirement in large-scale practical problems. The performance of the proposed algorithm is demonstrated for the problem of handwritten digit recognition
  • Keywords
    Kalman filters; computational complexity; feedforward neural nets; handwritten character recognition; learning (artificial intelligence); adaptive pruning; adaptive training; computational complexity reduction; feedforward networks; handwritten digit recognition; local extended Kalman filter approach; storage requirement reduction;
  • fLanguage
    English
  • Journal_Title
    Electronics Letters
  • Publisher
    iet
  • ISSN
    0013-5194
  • Type

    jour

  • DOI
    10.1049/el:20010074
  • Filename
    898286
    • Link To Document
    https://search.isc.ac/dl/search/defaultta.aspx?DTC=49&DC=1429841