MODERNIZATION OF THE NEURAL NETWORK METHODOLOGY FOR ASSESSING THE LEVEL OF COMPETENCY ACQUISITION USING THE 'CORE' TECHNOLOGY

This article discusses the modernization of the neural network methodology for assessing the level of competency acquisition by students through the enhancement of the program using the 'core' system. The article explores alternatives to the system, the feasibility of its use, as well as its advantages and disadvantages.

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Publication Details

Journal
RUSSIAN ELECTRONIC SCIENTIFIC JOURNAL
Published
2025-01-01
DOI
https://doi.org/10.31563/2308-9644-2025-55-1-231-238
Primary Topic
Advanced Research in Systems and Signal Processing
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article
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article

MODERNIZATION OF THE NEURAL NETWORK METHODOLOGY FOR ASSESSING THE LEVEL OF COMPETENCY ACQUISITION USING THE 'CORE' TECHNOLOGY

S. Kanaga Suba Raja, Filippov R.G.
RUSSIAN ELECTRONIC SCIENTIFIC JOURNAL
Advanced Research in Systems and Signal Processing
article

MODERNIZATION OF THE NEURAL NETWORK METHODOLOGY FOR ASSESSING THE LEVEL OF COMPETENCY ACQUISITION USING THE 'CORE' TECHNOLOGY

S. Kanaga Suba Raja, Filippov R.G.
article en

Abstract

This article discusses the modernization of the neural network methodology for assessing the level of competency acquisition by students through the enhancement of the program using the 'core' system. The article explores alternatives to the system, the feasibility of its use, as well as its advantages and disadvantages.

RUSSIAN ELECTRONIC SCIENTIFIC JOURNALVol. 55(1)
Openalex Percentile: Top 80%
Advanced Research in Systems and Signal Processing
DOIOpen Access PDFOpenAlex
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MODERNIZATION OF THE NEURAL NETWORK METHODOLOGY FOR ASSESSING THE LEVEL OF COMPETENCY ACQUISITION USING THE 'CORE' TECHNOLOGY — S. Kanaga Suba Raja, Filippov R.G. · RUSSIAN ELECTRONIC SCIENTIFIC JOURNAL (2025) | TGRS Research Map | TGRS