DEVELOPMENT OF A NEURAL NETWORK METHODOLOGY FOR ASSESSING THE LEVEL OF COMPETENCY IN THE FIELD OF ENERGY SUPPLY IN THE AGRICULTURAL COMPLEX

The article discusses the application of neural network systems in the process of training students, as well as presents summarized results from various stages of the development of the proposed program, along with justifications for the decisions made. An analysis of possible modifications and the potential development of the program is also conducted.

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Publication Details

Journal
RUSSIAN ELECTRONIC SCIENTIFIC JOURNAL
Published
2025-01-01
DOI
https://doi.org/10.31563/2308-9644-2025-55-1-222-230
Primary Topic
Industrial Engineering and Technologies
Type
article
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0.00
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article

DEVELOPMENT OF A NEURAL NETWORK METHODOLOGY FOR ASSESSING THE LEVEL OF COMPETENCY IN THE FIELD OF ENERGY SUPPLY IN THE AGRICULTURAL COMPLEX

Linenko Andrey V., Kazmiruk A.S.
RUSSIAN ELECTRONIC SCIENTIFIC JOURNAL
Industrial Engineering and Technologies
article

DEVELOPMENT OF A NEURAL NETWORK METHODOLOGY FOR ASSESSING THE LEVEL OF COMPETENCY IN THE FIELD OF ENERGY SUPPLY IN THE AGRICULTURAL COMPLEX

Linenko Andrey V., Kazmiruk A.S.
article en

Abstract

The article discusses the application of neural network systems in the process of training students, as well as presents summarized results from various stages of the development of the proposed program, along with justifications for the decisions made. An analysis of possible modifications and the potential development of the program is also conducted.

RUSSIAN ELECTRONIC SCIENTIFIC JOURNALVol. 55(1)
Openalex Percentile: Top 83%
Industrial Engineering and Technologies
DOIOpen Access PDFOpenAlex
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DEVELOPMENT OF A NEURAL NETWORK METHODOLOGY FOR ASSESSING THE LEVEL OF COMPETENCY IN THE FIELD OF ENERGY SUPPLY IN THE AGRICULTURAL COMPLEX — Linenko Andrey V., Kazmiruk A.S. · RUSSIAN ELECTRONIC SCIENTIFIC JOURNAL (2025) | TGRS Research Map | TGRS