Name
Shumkov Yevgeniy Aleksandrovich
Scholastic degree
•
Academic rank
—
Honorary rank
—
Organization, job position
Kuban State Technological University
Web site url
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Articles count: 17
The study was carried out with the financial support of the RHNF as part of the research project of the RFBR 17-02-00475-OGN "Application of metaheuristic algorithms for solving direct and inverse problems of optimizing the management of spatially distributed complexes"). The article considers the issue of automated selection of specialists for the project. It is proposed to use artificial neural networks as a decisive core of the system. We have considered several solutions to the problem with a basic version based on a cascade of two neural networks
The study was carried out with the financial support of the RHNF as part of the research project of the RHF RFBR 17-02-00475а "Application of metaheuristic algorithms for solving direct and inverse problems of optimizing the management of spatially distributed complexes"). The article discusses the use of artificial neural networks in frame expert systems, which in some cases make it possible to bypass a number of limitations of the standard version of frame expert systems. Several options for using neural networks in frame expert systems were considered and a number of tasks to be solved for each
In the article questions of forecasting of publication
activity and a problem of planning of actions on
management of publicity activity of scientific
collective are considered
The study was carried out with the financial support of
the Russian Foundation for Basic Research, within the
framework of the RFBR research project 17-02-
00475a "Application of metaheuristic algorithms to
solving direct and inverse problems of optimizing
control of spatially distributed complexes". The article
considers the task of scenario approach to project
management in case of abnormal progress of its
implementation. Various contingencies have been
analyzed in the course of project implementation. A
model of the scenario approach for project
management using the training principle with
reinforcement is proposed
The article deals with the issues of determining the
complexity of the project objectives, performance
evaluation of the project, as well as the question of the
distribution of specialists on problems
The article describes the approach to drawing up a
project plan using the method of case law and the
problem of forecasting the flow of new tasks
The article describes an approach to managing maintenance crews using ITIL methodology and principles of reinforcement learning
The article describes the network-centric approach to a building control system based on the "inner teacher" neuro - fuzzy topology, which uses the principles of reinforcement learning
The article proposes the implementation of neuro-fuzzy neural network topology of "Internal Teacher"
The article describes the architecture of decision support systems and proposes general architecture of the modern decision support systems