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

Autores/as

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

Palabras clave:

Sistemas de redes neuronales, Descripción, Modelado, BPMN 2.0, Minería de datos, Comunicación impulsada, Interacción impulsada por documentos, Soluciones de gestión, Instituciones educativas

Resumen

El propósito del estudio: desarrollar y describir, el proceso de funcionamiento de un sistema de red neuronal de justificación experta de decisiones de gestión en el campo de la preparación de programas educativos para actividades prometedoras utilizando métodos de modelado gráfico. Resultados: se han propuesto enfoques conceptuales para asegurar la interacción de las entidades del mercado laboral y las organizaciones educativas de la Federación de Rusia dentro del ecosistema de información y comunicación basados en los mecanismos de redes neuronales descritos en la notación BPMN 2.0. Los principales sujetos del sistema se han caracterizado a través de las herramientas "pool" y "swimline", su interacción a través de las herramientas "flow", "message flow", las principales operaciones desplegadas a través de procesos privados data mining, IDSS, comunicación impulsada y interacción documental impulsada. La novedad científica del estudio: se ha propuesto el concepto de interacción estratégica entre los sujetos del mercado laboral y las instituciones educativas de la Federación de Rusia basado en la automatización de la comunicación y el uso de mecanismos de redes neuronales.

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Biografía del autor/a

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.

Citas

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