Application of Kohonen self-organizing maps to the analysis of enterprises' employees certification results

被引：10
|
作者：
Tynchenko, V. S. [1 ,2 ]
Tynchenko, V. V. [1 ,2 ]
Bukhtoyarov, V. V. [1 ,2 ]
Kukartsev, V. V. [1 ,2 ]
Kukartsev, V. A. [2 ]
Eremeev, D. V. [1 ]
机构：
[1] Reshetnev Siberian State Univ Sci & Technol, 31 Krasnoyarsky Rabochy Av, Krasnoyarsk 660037, Russia
[2] Siberian Fed Univ, 79 Svobodny Pr, Krasnoyarsk 660041, Russia
来源：
INTERNATIONAL WORKSHOP ADVANCED TECHNOLOGIES IN MATERIAL SCIENCE, MECHANICAL AND AUTOMATION ENGINEERING - MIP: ENGINEERING - 2019 | 2019年 / 537卷
关键词：
D O I：
10.1088/1757-899X/537/4/042010
中图分类号：
TH [机械、仪表工业];
学科分类号：
0802 ;
摘要：
The paper deals with the problem of analyzing enterprises' employees certification results. To solve the problem, it is proposed to use Kohonen self-organizing maps for in-depth data analysis. Also, the proposed method allows to visualize the company's employees certification results for its managers in order to support decision-making As a result of experimental studies, an effective structure of the Kohonen network was identified, which was used to solve the real problem of analysis. The proposed approach can be implemented as part of an integrated automated system in order to save personnel management time by providing analysis results in a visual form.
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页数：5
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