• DocumentCode
    3243296
  • Title

    Application of the information-Theoretical approach to multilayer perceptron training

  • Author

    Morozov, O.A. ; Ovchinnikov, P.E.

  • Author_Institution
    Dept. of Phys., Nizhny Novgorod State Univ., Nizhny Novgorod, Russia
  • fYear
    2011
  • fDate
    27-29 May 2011
  • Firstpage
    69
  • Lastpage
    71
  • Abstract
    The effective method for training of multilayer perceptron network (MLP), consisting in optimization of information criterion on the basis of Renyi´s entropy, is proposed. The results of computer modeling are presented. Training speed increase by the proposed scheme in comparison with the traditional approach is demonstrated experimentally.
  • Keywords
    entropy; learning (artificial intelligence); multilayer perceptrons; optimisation; Renyi entropy; information theory; multilayer perceptron network; optimization; training; Probability; Training; Renyi´s entropy; artificial neural network; training;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Communication Software and Networks (ICCSN), 2011 IEEE 3rd International Conference on
  • Conference_Location
    Xi´an
  • Print_ISBN
    978-1-61284-485-5
  • Type

    conf

  • DOI
    10.1109/ICCSN.2011.6014851
  • Filename
    6014851
    • Link To Document
    https://search.isc.ac/dl/search/defaultta.aspx?DTC=49&DC=3243296