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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

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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
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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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