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
In this article we have shown how to find sub-optimal neural networks using genetic algorithms
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
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 article describes an approach to managing maintenance crews using ITIL methodology and principles of reinforcement learning
In the article, popular technical «Stochastic Oscillator» indicator is considered. Various trading strategies based on the indicator are researched; the parameters with statistical advantage are revealed
In the article, we have discussed the question of simulating the operation of a hotel complex with the help of fuzzy inference rules
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
In the article popular technical MACD indicator is considered. Various parameters of the indicator about revealing of statistical advantage are investigated. The variant of use of genetic algorithms for a problem of search of parameters of the indicator is shown
In this article, the approach to the decision of a problem of recognition of figures of the technical analysis with use of artificial neural networks is offered. Also, the problem of forecasting of the further movement of time series is considered