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Публікація Intelligent automated computer systems(Informacijas Sistemu Menedžmenta Augstskola, 2021) Zakovorotniy, Alexandr; Kharchenko, ArtemFuzzy logic and neural network methods are currently used to solve problems related to process modeling in the conditions of uncertainty or insufficient input data. Neural networks allow not only to model processes as close as possible to real ones, but also to forecast the values of technical parameters. The reliability of a computer system depends on the right choice of the input parameters and the accuracy of calculations. This work is devoted to the issue of developing the automated computer system, taking into account the dynamics of railway vehicles.Публікація Complex driver movement mathematical model of the tractive rolling stock(The Lublin Branch of the Polish Academy of Sciences, 2018) Dmitrienko, Valery; Zakovorotniy, Alexander; Noskov, Valentin; Mezentsev, Nikolai; Glavchev, Dmitriy; Kharchenko, ArtemThe paper developed a complex mathematical model of the rolling stock movement that takes into account the parallel operation of two real traction asynchronous engines of the first traction railway carriage and one equivalent engine of the second traction railway carriage of the diesel train in all modes of work, as well as the main types of oscillations of the train wagons, the forces distribution of interaction between them during the movement, as well as longitudinal and transverse elastic couplings of the wheel pair with the carriage of the car. In the article, the adequacy of the processes, resulting from threedimensional modeling, processes occurring in the real diesel train DEL-02. On the complex mathematical model, were carried out tests on the effect of the main types of wagon oscillations to the motion and energy expenditure of a diesel train.