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
Link To Document