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
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;
Conference_Titel :
Neuroinformatics and Neurocomputers, 1995., Second International Symposium on
Conference_Location :
Rostov on Don
Print_ISBN :
0-7803-2512-5
DOI :
10.1109/ISNINC.1995.480872