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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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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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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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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RESEARCH OF TECHNICAL INDICATOR MACD
DescriptionIn 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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USING GENETIC ALGORITHMS FOR TRAINING NEURAL NETWORKS
DescriptionIn this article we have shown how to find sub-optimal neural networks using genetic algorithms
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GENETIC SEARCH TOPOLOGY OF NEURAL NETWORK MODELS
DescriptionIn the article we consider the topology of genetic search of neural network models
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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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ARCHITECTURE OF DECISION SUPPORT SYSTEMS
DescriptionThe article describes the architecture of decision support systems and proposes general architecture of the modern decision support systems
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FUZZY CONTROLLER WITH SELF-MODIFICATION RULES
DescriptionThe article proposes the implementation of neuro-fuzzy neural network topology of "Internal Teacher"
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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