• DocumentCode
    3069727
  • Title

    Artificial neural networks for valuation of individual brain reactivity

  • Author

    Rossiev, D.A. ; Zakhmatov, I.G. ; Narodov, A.A.

  • Author_Institution
    Krasnoyarsk State Med. Inst., Russia
  • fYear
    1995
  • fDate
    20-23 Sep 1995
  • Firstpage
    299
  • Lastpage
    305
  • Abstract
    The article describes an approach to combine the original neurological method of myographical estimation of simple arbitrary movements (“taping”) and its interpretation by neural networks of different kinds of classifiers and vector-predictors. The authors consider some strategies of training networks to transfer to them subjective experience of medical doctors and then express it as numeric parameters
  • Keywords
    brain; electromyography; learning (artificial intelligence); neural nets; artificial neural networks; classifiers; individual brain reactivity; medical doctors; myographical estimation; simple arbitrary movements; subjective experience; vector-predictors; Artificial neural networks; Biological neural networks; Cost accounting; Frequency; Functional analysis; Medical diagnostic imaging; Microstructure; Neurosurgery; Rhythm; Tumors;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Neuroinformatics and Neurocomputers, 1995., Second International Symposium on
  • Conference_Location
    Rostov on Don
  • Print_ISBN
    0-7803-2512-5
  • Type

    conf

  • DOI
    10.1109/ISNINC.1995.480872
  • Filename
    480872