Scientific Journal of KubSAU

Polythematic online scientific journal
of Kuban State Agrarian University
ISSN 1990-4665
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Name

Shumkov Yevgeniy Aleksandrovich

Scholastic degree


Academic rank

—

Honorary rank

—

Organization, job position

Kuban State Technological University
   

Web site url

—

Email

sneveld@yandex.ru


Articles count: 17

161 kb

SIMULATION OF THE HOTEL

abstract 0911307079 issue 91 pp. 1124 – 1133 30.09.2013 ru 1315
In the article, we have discussed the question of simulating the operation of a hotel complex with the help of fuzzy inference rules
141 kb

STATISTICAL ANALYSIS OF TECHNICAL INDICATORS

abstract 0641010026 issue 64 pp. 337 – 345 22.12.2010 ru 1837
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
129 kb

THE MANAGEMENT OF MAINTENANCE CREWS OF A SPATIALLY DISTRIBUTED COMPANY

abstract 1031409004 issue 103 pp. 50 – 58 30.11.2014 ru 926
The article describes an approach to managing maintenance crews using ITIL methodology and principles of reinforcement learning
158 kb

THE TASK OF FORECASTING OF PUBLICATION ACTIVITY

abstract 1321708068 issue 132 pp. 863 – 874 31.10.2017 ru 333
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
163 kb

THE TASK OF PROJECT MANAGMENT

abstract 1151601046 issue 115 pp. 760 – 768 27.01.2016 ru 591
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
147 kb

USING GENETIC ALGORITHMS FOR TRAINING NEURAL NETWORKS

abstract 0911307078 issue 91 pp. 1114 – 1123 30.09.2013 ru 1547
In this article we have shown how to find sub-optimal neural networks using genetic algorithms
340 kb

USING NEURAL NETWORKS FOR THE PROJECT TEAM SELECTION

abstract 1531909006 issue 153 pp. 66 – 74 29.11.2019 ru 150
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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