name
Shumkov Yevgeniy Aleksandrovich
Scholastic degree
•
Academic rank
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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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FRAME EXPERT SYSTEMS USING NEURAL NETWORKS
05.13.18 Mathematical modeling, numerical methods and software complexes
DescriptionThe 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
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THE MANAGEMENT OF MAINTENANCE CREWS OF A SPATIALLY DISTRIBUTED COMPANY
DescriptionThe article describes an approach to managing maintenance crews using ITIL methodology and principles of reinforcement learning
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SCENARIO APPROACH TO PROJECT MANAGEMENT
DescriptionThe 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
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STATISTICAL ANALYSIS OF TECHNICAL INDICATORS
DescriptionIn 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
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HIGH-SPEED METHOD OF MULTILAYERED PERCEPTRON TRAINING
DescriptionIn this article the high-speed method of multilayered perceptron learning which differs in the high speed of training is offered. Results of comparison of a high-speed method of learning with standard methods are resulted
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CENTRIC MANAGEMENT SYSTEM BASED ON NEURO - FUZZY TOPOLOGY
DescriptionThe 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
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RECOGNITION OF FIGURES OF THE TECHNICAL ANALYSIS BY MEANS OF NEURAL NETWORKS
DescriptionIn 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
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USING NEURAL NETWORKS FOR THE PROJECT TEAM SELECTION
05.13.10 Management in social and economic systems
DescriptionThe 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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DETERMINATION OF TIME-CONSUMING TASKS AND ASSESSMENT OF THE EFFECTIVENESS OF PROJECT MANAGEMENT
DescriptionThe 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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FUZZY CONTROLLER WITH SELF-MODIFICATION RULES
DescriptionThe article proposes the implementation of neuro-fuzzy neural network topology of "Internal Teacher"