name
Kymratova Alfira Menligulovna
Scholastic degree
•
Academic rank
—
Honorary rank
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Organization, job position
• Karachaevo-Circassian state technological academy
Доцент
Research interests
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Articles count: 16
Сформировать список работ, опубликованных в Научном журнале КубГАУ
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STUDY OF SEASONAL TREND-PROCESS WITH THE METHOD OF CLASSICAL STATISTICS
DescriptionThis work is devoted to the methods of multicriteria optimization and classical statistics of obtaining pre-estimated information for time series that have long-term memory, which is why their levels do not satisfy the independence property, and therefore the classical prediction methods may be inadequate. The developed methods of obtaining such information are based on classical statistics methods such as mathematical statistics, multicriteria optimization and extreme value theory. The effectiveness of the proposed approach has been demonstrated on the example of specific time series of volumes of mountain rivers
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ARTIFICIAL INTELLIGENCE METHODS FOR DECISION MAKING AND PREDICTING THE BEHAVIOR OF DYNAMICAL SYSTEMS
DescriptionThis article proposes a modification and training the Cellular Automaton predictive model. The author presents a modified system of models and methods for time series prediction with memory based on the theory of fuzzy sets and linear cellular automata
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METHODS OF CLASSICAL STATISTICS IN STUDYING THE DEGREE OF "RISKINESS" OF TREND-SEASONAL PROCESSES
DescriptionThe article studies the degree of "riskiness" of natural time series, which are inherent properties of the seasonal trend. The authors have made an analysis the result of which is the effect relationship between weather conditions and the dynamics of the behavior of the monthly volumes of mountain rivers
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THE IMPACT OF SEASONAL AND EVENT COMPONENT ON PLANNING AND MANAGEMENT OF TOURIST FLOWS
DescriptionThe article discusses the impact of seasonal and event-component time series to assess the predictive performance of the tourist flow in Dombay village in the Karachay-Cherkessia Republic
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STABILITY OF DEVELOPMENT OF AGRARIAN SECTOR: COMPLEX OF MATHEMATICAL METHODS AND MODELS
DescriptionTools and mathematical methods offered for usage represent essentially new base for forecasting of discrete evolutionary processes. Authors represent complete system of models and methods of temporary ranks’ with memory forecasting
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Description
In the article the forecasting model which is based on the theory of cellular automatic machines and mathematical apparatus of indistinct sets is presented. Its work on the real data of time number productivities of sugar beet in Mostovskoy area of Krasnodar territory is shown