Control Systems and Computers, N3, 2020, Article 2

Control Systems and Computers, 2020, Issue 3 (287), pp. 15-27.

UDK  004.852

O.G. RUDENKO, Doctor (Eng.), Professor, Head of Department of Сomputer intelligent technologies and systems, Kharkiv National University of Radio Electronics, Nauky Ave. 14, Kharkiv, 61166, Ukraine, 
oleg.rudenko@hneu.net

O.O. BEZSONOV, Doctor (Eng.), Professor, Department of Сomputer intelligent technologies and systems, Kharkiv National University of Radio Electronics, Nauky Ave. 14, Kharkiv, 61166, Ukraine, oleksandr.bezsonov@hneu.net

ADALINE Robust Multistep Training Algorithm

The article considers the multi-step ADALINE training algorithm when using the correntropy information criterion as a learning criterion, determines the conditions for the convergence of the algorithm, and shows that in the steady state the resulting estimate is unbiased. The importance of choosing the width of the Gaussian core, which affects the convergence rate of the estimation algorithms and the error in the steady state, is noted, and the feasibility of developing procedures for adaptive correction of the core width is indicated.

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Keywords: validation, learning outcomes, non-formal learning, informal learning, professions, competencies, skills, ontology, ESCO, Semantic Web.

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Received 14.06.2020.