• DocumentCode
    555874
  • Title

    Sub gradient iterative method for neural networks training

  • Author

    Shcherbakova, Galyna ; Krylov, Victor ; Abakumov, Valentin ; Brovkov, Volodymyr ; Kozina, Iuliia

  • Author_Institution
    Odessa Nat. Polytech. Univ., Odessa, Ukraine
  • Volume
    1
  • fYear
    2011
  • fDate
    15-17 Sept. 2011
  • Firstpage
    361
  • Lastpage
    364
  • Abstract
    Sub gradient iterative method in the wavelet transformed domain for neural networks training rule is proposed. This method allows to improve noise stability, to reduce local extreme and initial point search sensitiveness.
  • Keywords
    gradient methods; learning (artificial intelligence); neural nets; optimisation; search problems; wavelet transforms; initial point search sensitivity; local extreme sensitivity; neural network training rule; noise stability; subgradient iterative method; wavelet transformed domain; Estimation; Neural networks; Neurons; Noise; Optimization; Training; Wavelet transforms; neural networks; sub gradient; wavelet transforming;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Intelligent Data Acquisition and Advanced Computing Systems (IDAACS), 2011 IEEE 6th International Conference on
  • Conference_Location
    Prague
  • Print_ISBN
    978-1-4577-1426-9
  • Type

    conf

  • DOI
    10.1109/IDAACS.2011.6072774
  • Filename
    6072774
    • Link To Document
    https://search.isc.ac/dl/search/defaultta.aspx?DTC=49&DC=555874