Journal of Automation and Information Sciences
Выходит 12 номеров в год
ISSN Печать: 1064-2315
ISSN Онлайн: 2163-9337
SJR:
0.173
SNIP:
0.588
CiteScore™::
2
Indexed in
Hierarchical Information-Extreme Learning Algorithm for a Diagnostic System with Redundant Training Matrix
Том 47,
Выпуск 4, 2015,
pp. 54-63
DOI: 10.1615/JAutomatInfScien.v47.i4.60
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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