• DocumentCode
    2268587
  • Title

    Training recurrent networks using Hessian information

  • Author

    Coelho, Pedro Henrique Gouvêa

  • Author_Institution
    UFMA, Sao Luis, Brazil
  • fYear
    1995
  • fDate
    17-22 Sep 1995
  • Firstpage
    172
  • Abstract
    New training algorithms for fully recurrent neural networks are presented. They are based on Hessian matrices estimates. Simulation results show that the algorithms yields satisfactory results
  • Keywords
    Hessian matrices; estimation theory; learning (artificial intelligence); recurrent neural nets; Hessian information; Hessian matrices estimates; algorithms; fully recurrent neural networks; training algorithms; Approximation algorithms; Backpropagation algorithms; Computational complexity; Computer architecture; Computer networks; Cost function; Electronic mail; Neural networks; Neurons; Recurrent neural networks;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Information Theory, 1995. Proceedings., 1995 IEEE International Symposium on
  • Conference_Location
    Whistler, BC
  • Print_ISBN
    0-7803-2453-6
  • Type

    conf

  • DOI
    10.1109/ISIT.1995.531521
  • Filename
    531521
    • Link To Document
    https://search.isc.ac/dl/search/defaultta.aspx?DTC=49&DC=2268587