• DocumentCode
    352965
  • Title

    A complement to the back-propagation algorithm: an upper bound for the learning rate

  • Author

    Cerqueira, Jés J F ; Palhares, Álvaro G B ; Madrid, Marconi K.

  • Author_Institution
    Univ. Estadual de Campinas, Sao Paulo, Brazil
  • Volume
    4
  • fYear
    2000
  • fDate
    2000
  • Firstpage
    517
  • Abstract
    This paper presents as complement for the back-propagation algorithm, a local convergence analysis derived from a vectorial approach. The analysis is made through application of Lyapunov´s second method, and it supplies an upper bound for the learning rate
  • Keywords
    backpropagation; multilayer perceptrons; Lyapunov´s second method; back-propagation algorithm; learning rate; local convergence analysis; vectorial approach; Algorithm design and analysis; Artificial neural networks; Convergence; Education; Multi-layer neural network; Multilayer perceptrons; Optimization methods; RNA; Upper bound; Vectors;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Neural Networks, 2000. IJCNN 2000, Proceedings of the IEEE-INNS-ENNS International Joint Conference on
  • Conference_Location
    Como
  • ISSN
    1098-7576
  • Print_ISBN
    0-7695-0619-4
  • Type

    conf

  • DOI
    10.1109/IJCNN.2000.860823
  • Filename
    860823
    • Link To Document
    https://search.isc.ac/dl/search/defaultta.aspx?DTC=49&DC=352965