• DocumentCode
    3389049
  • Title

    Advanced learning algorithms

  • Author

    Wilamowski, Bogdan M.

  • Author_Institution
    Electrical and Computer Engineering, Auburn University, Alabama, USA
  • fYear
    2009
  • fDate
    16-18 April 2009
  • Firstpage
    9
  • Lastpage
    17
  • Abstract
    The comparisons of various learning algorithms were presented and it was shown that most popular neural network topologies (MLP) and most popular training algorithm (EBP) are not giving optimal solution. Instead MLP networks much simpler neural network topologies can be used to produce similar or better results. Instead of popular EBP more advance algorithms such as LM or NBN should be used. They not only produce results in couple order of magnitude shorter time, but also good solutions can be found for networks where EBP algorithm fails. Eventually EBP can find solution if number of neurons in the network increase, but this solution in most cases will be far from the optimum one.
  • Keywords
    Computer networks; Hamming distance; High definition video; Learning systems; Network topology; Neural networks; Neurons; Unsupervised learning;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Intelligent Engineering Systems, 2009. INES 2009. International Conference on
  • Conference_Location
    Barbados
  • Print_ISBN
    978-1-4244-4111-2
  • Electronic_ISBN
    978-1-4244-4113-6
  • Type

    conf

  • DOI
    10.1109/INES.2009.4924730
  • Filename
    4924730