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

International Workshop "Advanced Technologies in Material Science, Mechanical and Automation Engineering – MIP: Engineering – 2019"

材料科学;机械制造;原子能学

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

Reshetnev Siberian State University of Science and Technology, Krasnoyarsky Rabochy Av. 31, Krasnoyarsk

660037, Russia^1

Siberian Federal University, Svobodny pr. 79, Krasnoyarsk

660041, Russia^2

关键词: Automated systems;    In-depth datum;    Kohonen network;    Kohonen self-organizing maps;    Personnel management;    Real problems;    Visual forms;   

Others  :  https://iopscience.iop.org/article/10.1088/1757-899X/537/4/042010/pdf
DOI  :  10.1088/1757-899X/537/4/042010

学科分类：材料科学（综合）

来源: IOP

【 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.