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ENG: Department of Foreign Languages DIIT

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The Use of Neural Network Technologies in Research Competence Formation of IT-specialists for the Railway Industry in Multilevel Training System
(SWorld in conjunction with D.A. Tsenov Academy of Economics, Svishtov, Bulgaria, 2020) Pakhomova, Victoria M.; Miroshnychenko, Iryna H.; Skaballanovich, Tetiana I.; Bondareva, Valentyna S.
ENG: The article considers the development of formation methods of research competence with the use of neural network technologies of IT specialists for the railway industry in multilevel training system. The proposed method «ResCompStageNNT» consists of the following stages: the determination of the current load of the MPLS domain tunnels (for the Bachelor’s degree applicants); clustering the traffic flows under the condition of SOM-based QoS parameter and determining the MPLS domain tunnels on the basis of MLP (for the Master’s degree applicants); distribution of the traffic flows by the tunnels of the MPLS domain on the created software package and the organization of a relevant research (for candidates of the Doctor of Philosophy’s degree). The formed research competence of IT specialists of the railway industry provides an opportunity for the ability to research existing and design new computer networks of the information and telecommunication system of railway transport using the neural network technologies. Key words: railway transport, degree, research competence, traffic, routing,