Library Subscription: Guest
Begell Digital Portal Begell Digital Library eBooks Journals References & Proceedings Research Collections
Journal of Automation and Information Sciences
SJR: 0.275 SNIP: 0.59 CiteScore™: 0.8

ISSN Print: 1064-2315
ISSN Online: 2163-9337

Volume 52, 2020 Volume 51, 2019 Volume 50, 2018 Volume 49, 2017 Volume 48, 2016 Volume 47, 2015 Volume 46, 2014 Volume 45, 2013 Volume 44, 2012 Volume 43, 2011 Volume 42, 2010 Volume 41, 2009 Volume 40, 2008 Volume 39, 2007 Volume 38, 2006 Volume 37, 2005 Volume 36, 2004 Volume 35, 2003 Volume 34, 2002 Volume 33, 2001 Volume 32, 2000 Volume 31, 1999 Volume 30, 1998 Volume 29, 1997 Volume 28, 1996

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


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.

Articles with similar content:

Stochastic Testing of Software Modules. Independent Testing Method
Telecommunications and Radio Engineering, Vol.62, 2004, issue 7-12
A. N. Kovartsev, A. L. Logvinov
Telecommunications and Radio Engineering, Vol.76, 2017, issue 19
V. A. Gorokhovatskiy, E. O. Peredrii, A. V. Gorokhovatskiy
Substantiation of Classification of Scheduling Problems Solved in a Multilevel System of Conveyrized Programs Implementation
Journal of Automation and Information Sciences, Vol.46, 2014, issue 7
Kirill V. Krotov
The Method of Choice and Analysis of Learning Lots for Classification of Remote Probing Data
Journal of Automation and Information Sciences, Vol.39, 2007, issue 4
Larisa V. Areshkina
Hierarchical Information-Extreme Learning Algorithm for a Diagnostic System with Redundant Training Matrix
Journal of Automation and Information Sciences, Vol.47, 2015, issue 4
Anna A. Stadnyk , Anatoliy S. Dovbysh, Stanislav A. Holubnychyi