Текст аннотации на англ. языке и полный текст статьи на англ. языке находится в прилагаемом файле ПДФ (англ. версия следует после русской версии).На основе выделенных автором факторов, определяющих качество оперативного контроля за технологическими процессами, предлагается создание автоматической системы управления работой сортировочной станции с элементами искусственного интеллекта. В качестве математического аппарата используются средства, типичные для искусственных нейронных сетей (ИНС) и комплексных имитационных моделей. Сформулированы основные требования к моделям ИНС, предназначенным решать задачи текущего прогнозирования на сортировочной станции, а также критерии и принципы, которые должны быть учтены при проектировании нейронных сетей.
[For the English abstract and full text of the article please see the attached PDF-File (English version follows Russian version)].ABSTRACT On the basis of selected factors that determine quality of operational control over technological processes, it is proposed to create an automatic control system of marshalling yard operation with elements of artificial intelligence. Proposed mathematical apparatus could include typical methods, characteristic of artificial neural networks (ANN) and complex simulation models. The basic requirements for ANN models are formulated, designed to solve the problems of current forecasting at marshalling yard, as well as criteria and principles that should be taken into account in the design of neural networks. Keywords: railway, freight transportation, marshalling yard, control, intelligent technologies, artificial neural networks. REFERENCES 1.Obukhov, A. 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The authors declare that there are no conflicts of interest present.