name
Shumkov Yevgeniy Aleksandrovich
Scholastic degree
•
Academic rank
—
Honorary rank
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Organization, job position
• Kuban State Technological University
кафедра ВТ и АСУ
доцент
Research interests
нейронные сети, обучение с подкреплением, системы поддержки принятия решений
Web site url
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Current rating (overall rating of articles)
0
TOP5 co-authors
Articles count: 17
Сформировать список работ, опубликованных в Научном журнале КубГАУ
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ARCHITECTURE OF DECISION SUPPORT SYSTEMS
Description
The article describes the architecture of decision support systems and proposes general architecture of the modern decision support systems
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GENETIC SEARCH TOPOLOGY OF NEURAL NETWORK MODELS
Description
In the article we consider the topology of genetic search of neural network models
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THE TASK OF FORECASTING OF PUBLICATION ACTIVITY
Description
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
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Description
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
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USING GENETIC ALGORITHMS FOR TRAINING NEURAL NETWORKS
Description
In this article we have shown how to find sub-optimal neural networks using genetic algorithms
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RESEARCH OF TECHNICAL INDICATOR MACD
Description
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
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Description
In the article, we have discussed the question of simulating the operation of a hotel complex with the help of fuzzy inference rules
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FUZZY CONTROLLER WITH SELF-MODIFICATION RULES
Description
The article proposes the implementation of neuro-fuzzy neural network topology of "Internal Teacher"
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DETERMINATION OF TIME-CONSUMING TASKS AND ASSESSMENT OF THE EFFECTIVENESS OF PROJECT MANAGEMENT
Description
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
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USING NEURAL NETWORKS FOR THE PROJECT TEAM SELECTION
05.13.10 Management in social and economic systems
Description
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
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