• DocumentCode
    288351
  • Title

    Adaptive gain networks

  • Author

    Codrington, Craig W. ; Tenorio, Manoel F.

  • Author_Institution
    Sch. of Electr. Eng., Purdue Univ., West Lafayette, IN, USA
  • Volume
    1
  • fYear
    1994
  • fDate
    27 Jun-2 Jul 1994
  • Firstpage
    339
  • Abstract
    We propose several neuron models featuring adaptive gain parameters in addition to the weights. These are shown to enhance learning speed on parity problems of various sizes
  • Keywords
    neural nets; adaptive gain networks; adaptive gain parameters; learning speed; neuron models; parity problems; Acceleration; Adaptive systems; Annealing; Ear; Error correction; Intelligent networks; Neural networks; Neurons;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Neural Networks, 1994. IEEE World Congress on Computational Intelligence., 1994 IEEE International Conference on
  • Conference_Location
    Orlando, FL
  • Print_ISBN
    0-7803-1901-X
  • Type

    conf

  • DOI
    10.1109/ICNN.1994.374186
  • Filename
    374186
    • Link To Document
    https://search.isc.ac/dl/search/defaultta.aspx?DTC=49&DC=288351