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自动化与信息科学期刊

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ISSN 打印: 1064-2315

ISSN 在线: 2163-9337

SJR: 0.173 SNIP: 0.588 CiteScore™:: 2

Indexed in

Information-extreme Algorithm for Recognizing Current Distribution Maps in Magnetocardiography

卷 43, 册 2, 2011, pp. 63-70
DOI: 10.1615/JAutomatInfScien.v43.i2.60
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摘要

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.

对本文的引用
  1. Dovbysh A. S., Rudenko M. S., Information-Extreme Learning Algorithm for a System of Recognition of Morphological Images in Diagnosing Oncological Pathologies, Cybernetics and Systems Analysis, 50, 1, 2014. Crossref

  2. Chaikovsky I., Stadnyuk L., Verba A., Vasetskyi Yu., Budnyk M., Mjasnikov G., Kazmirchuk A., Lomakovskyi A., Value of Topology Approach to Diagnose of CAD Based on Magnetocardiographic Current Distribution Maps in Difficult-to-Diagnose Patients, World Journal of Cardiovascular Diseases, 06, 07, 2016. Crossref

  3. O.A. Shkuropat, I.V. Shelehov, M.A. Myronenko, Intelligence system of artificial vision for unmanned aerial vehicle, Artificial Intelligence, 25, 4, 2020. Crossref

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