Conceptual approaches to the interaction of labor market entities and educational institutions in the Russian Federation within the ecosystem based on neural network mechanisms

Elena Eduardovna Alenina; Vera Vitalievna Ziulina; Ilya Aleksandrovich Alenin; Sergey Vladimirovich Bolotnikov; Dmitry Vladimirovich Redin; Lyubov Viktorovna Borodacheva

doi:10.22633/rpge.v25iesp.5.16016

Authors

Elena Eduardovna Alenina Moscow Polytechnic University, Moscow – Russia https://orcid.org/0000-0002-0109-3064
Vera Vitalievna Ziulina Moscow Polytechnic University, Moscow – Russia https://orcid.org/0000-0002-9419-1121
Ilya Aleksandrovich Alenin Moscow Polytechnic University, Moscow – Russia https://orcid.org/0000-0002-7373-2419
Sergey Vladimirovich Bolotnikov Moscow Polytechnic University, Moscow – Russia https://orcid.org/0000-0002-3419-2800
Dmitry Vladimirovich Redin Moscow Polytechnic University, Moscow – Russia https://orcid.org/0000-0003-4165-6885
Lyubov Viktorovna Borodacheva Moscow Polytechnic University, Moscow – Russia https://orcid.org/0000-0001-7778-2854

DOI:

https://doi.org/10.22633/rpge.v25iesp.5.16016

Keywords:

Neural network systems, Description, Modeling, BPMN 2.0, Data mining, Communication driven, Document driven interaction, Management solutions, Educational institutions

Abstract

The purpose of the study: to develop and describe, the process of functioning of a neural network system of expert justification of management decisions in the field of preparation of educational programs for promising activities using graphical modeling methods. Results: conceptual approaches to ensuring the interaction of labor market entities and educational organizations of the Russian Federation within the information and communication ecosystem based on neural network mechanisms described in the BPMN 2.0 notation have been proposed. The main subjects of the system have been characterized through the "pool" and "swimline" tools, their interaction through the "flow", "messages flows" tools, the main operations displayed through private processes data mining, IDSS, communication driven and document driven interaction. The scientific novelty of the study: the concept of strategic interaction between the subjects of the labor market and educational institutions of the Russian Federation based on automation of communication and the use of neural network mechanisms has been proposed.

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Author Biographies

Elena Eduardovna Alenina, Moscow Polytechnic University, Moscow – Russia

Assistant Professor.

Vera Vitalievna Ziulina, Moscow Polytechnic University, Moscow – Russia

Assistant Professor.

Ilya Aleksandrovich Alenin, Moscow Polytechnic University, Moscow – Russia

Lecturer.

Sergey Vladimirovich Bolotnikov, Moscow Polytechnic University, Moscow – Russia

Assistant Professor.

Dmitry Vladimirovich Redin, Moscow Polytechnic University, Moscow – Russia

Professor.

Lyubov Viktorovna Borodacheva, Moscow Polytechnic University, Moscow – Russia

Senior Lecturer.

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