name
Bogoslavskiy Stanislav Nikolayevich
Scholastic degree
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Academic rank
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Honorary rank
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Organization, job position
• Kuban State Agrarian University
аспирант
Research interests
исследование различных архитектур нейронных сетей, использование нейронных сетей в прогнозировании временных рядов, анализ моделей и структур нечетких нейронных сетей
Web site url
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TOP5 co-authors
Articles count: 19
Сформировать список работ, опубликованных в Научном журнале КубГАУ
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SCOPE OF ARTIFICIAL NEURAL NETWORKS AND PROSPECT OF THEIR DEVELOPMENT
Description
In the article various scopes and uses of artificial neural networks, and also their ability to training (to process of adjustment of architecture of a network and scales of synaptic communications) for the effective decisions of a task are considered
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Description
The article is devoted to creation of production line model of integrated grain-processing industrial system and the scheme of material-financial streams in the integrated industrial system of wheat grain production and processing is offered.
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MATERIAL AND FINANCIAL STREAMS IN THE INTEGRATED INDUSTRIAL SYSTEM OF WHEAT GRAIN PROCESSING
Description
The article is devoted to analysis of integrated industrial systems activity and creation of production line model of integrated grain-processing industrial system. The scheme of material-financial streams in the integrated industrial system of wheat grain production and processing is offered.
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Description
The article suggests a mathematical model of optimization of the volume of material flows: the model for the ideal conditions; the model for the working conditions; generalized model of determining the optimal input parameters. These models optimize such parameters of inventory management in technology-integrated grain production systems, as the number of cycles supply, the volume of the source material and financial flows. The study was carried out on the example of the integrated system of production, processing and sales of wheat (bread) with the full technological cycle
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Description
In this article the concrete definition of generalized stream-oriented model of economic efficiency of technologically full chain of grain manufacture, its processing and realization of baking production is spent. The mathematical models describing processes of transformation in blocks of a technological chain are received, and the model for estimation of its economic efficiency is developed
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Description
The article shows the outcomes of the solution of the problem of making of complex determined and sto-chastic models for optimizing such arguments of in-ventory management in technologically integrated manufacturing system, as an amount of cycles of deliveries, bulks of initial material and financial streams, safety stock bulks. Examination was con-ducted on a federated system instance on produc-tion, rehash and embodying of commodity from grain wheat (corn) with complete fabrication cycle
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COMPLEX OF MATHEMATICAL MODELS OF BREAD PRODUCTS TECHNOLOGICAL CHAIN
Description
This article briefly describes the proposed by the authors mathematical models of the integrated production system for the processing of wheat grain, united in two blocks – the block of deterministic models and the block of stochastic and fuzzy models
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Description
The article describes the fuzzy-multiple approach and the block of fuzzy (interval) mathematical models developed by the authors for calculating the amounts of material and financial flows, prices for bread and economic efficiency in a technologically integrated bread production system
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