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Портал Begell Электронная Бибилиотека e-Книги Журналы Справочники и Сборники статей Коллекции
Journal of Automation and Information Sciences
SJR: 0.232 SNIP: 0.464 CiteScore™: 0.27

ISSN Печать: 1064-2315
ISSN Онлайн: 2163-9337

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

Journal of Automation and Information Sciences

DOI: 10.1615/JAutomatInfScien.v47.i4.60
pages 54-63

Hierarchical Information-Extreme Learning Algorithm for a Diagnostic System with Redundant Training Matrix

Anatoliy S. Dovbysh
Sumy State University, Ukraine
Anna A. Stadnyk
Sumy State University, Sumy
Stanislav A. Holubnychyi
Medical Institute of Sumy State University, Sumy

Краткое описание

The problem of information synthesis of decision support system for pathological process diagnosing is considered within the frames of information-extreme intellectual technology based on maximization of information capacity of the system in the process of its learning. The influence of the training matrix forming method on functional efficiency of machine learning is investigated. Implementation of the algorithm was performed with the example of diagnosis of the spontaneous pneumothorax forms differed by etiology and disease course.

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