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Journal of Automation and Information Sciences
SJR: 0.232 SNIP: 0.464 CiteScore™: 0.27

ISSN Imprimir: 1064-2315
ISSN En Línea: 2163-9337

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Journal of Automation and Information Sciences

DOI: 10.1615/JAutomatInfScien.v43.i2.60
pages 63-70

Information-extreme Algorithm for Recognizing Current Distribution Maps in Magnetocardiography

Anatoliy S. Dovbysh
Sumy State University, Ukraine
Sergey S. Martynenko
Sumy State University, Ukraine
Alexander S. Kovalenko
International Research and Training Center of Information Technologies and Systems of National Academy of Sciences of Ukraine and Ministry of Education and Science of Ukraine, Kiev
Nikolay N. Budnyk
V.M. Glushkov Institute of Cybernetics of National Academy of Sciences of Ukraine, Kiev, Ukraine

SINOPSIS

The paper in question deals with the invariant with respect to geometric deformations recognition algorithm of magnetocardiographic images in the framework of information-extreme intellectual technology based on maximization of the information capacity of recognition system in the process of its learning.


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