• DocumentCode
    1164214
  • Title

    Simple adaptive momentum: new algorithm for training multilayer perceptrons

  • Author

    Bishop, J.M. ; Mitchell, R.J.

  • Volume
    30
  • Issue
    18
  • fYear
    1994
  • fDate
    9/1/1994 12:00:00 AM
  • Firstpage
    1498
  • Lastpage
    1500
  • Abstract
    The speed of convergence while training is an important consideration in the use of neural nets. The authors outline a new training algorithm which reduces both the number of iterations and training time required for convergence of multilayer perceptrons, compared to standard back-propagation and conjugate gradient descent algorithms
  • Keywords
    convergence of numerical methods; feedforward neural nets; iterative methods; learning (artificial intelligence); adaptive momentum; iterations; multilayer perceptrons; neural nets; speed of convergence; training algorithm; training time;
  • fLanguage
    English
  • Journal_Title
    Electronics Letters
  • Publisher
    iet
  • ISSN
    0013-5194
  • Type

    jour

  • DOI
    10.1049/el:19941014
  • Filename
    317037
    • Link To Document
    https://search.isc.ac/dl/search/defaultta.aspx?DTC=49&DC=1164214