Published in «Russian Journal of Labor Economics»4 / 2018
DOI: 10.18334/et.5.4.39488

Neural network assessment of personnel competencies

Krichevskiy Mikhail Leyzerovich, Saint-Petersburg State University of Aerospace Instrumentation (SUAI), Russia

Dmitrieva Svetlana Vladimirovna, Saint-Petersburg State University of Aerospace Instrumentation (SUAI), Russia

Martynova Yuliya Anatolevna, Saint-Petersburg State University of Aerospace Instrumentation (SUAI), Russia

Нейросетевая оценка компетенций персонала - View in Russian

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The results of personnel competence assessment obtained on the basis of neural network approach are presented. The term “competences“ is used in many scientific disciplines and practical applications. In personnel management, competence is formally described as requirements for the professional qualities of the employee. The importance of competencies is emphasized in ISO 9001 international standards and models of national and transnational product quality awards. However, in assessing competencies, the final point of view has not yet been formed. There are various methods and techniques that allow from one position or another to obtain an assessment of the competencies of employees, which is reduced, most often, to a subjective approach. In this paper, it is proposed to use artificial neural networks to assess competencies, with their help, the possibility of classifying workers by competence level is shown, the results of modeling the neural network using the Simulink tool are presented.


assessment of competencies, competence of the employee, neural network, simulation of the evaluation system

JEL-Classification: J01, M53, M59

Krichevskiy M.L., Dmitrieva S.V., Martynova Yu.A. (2018). Neural network assessment of personnel competencies [Neyrosetevaya otsenka kompetentsiy personala]. Russian Journal of Labor Economics, 5(4). (in Russian). – doi: 10.18334/et.5.4.39488.

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