Study of the theory of neural networks in the educational process of students of the Belarusian State University of Transport

The article presents the experience of studying the situational-heuristic method of planning and standardization in the educational process of the university. The main stages of calculations performed using heuristic methods are shown. The problems that students encounter when studying the above methods are named. It is proposed to use the mathematical apparatus of artificial neural networks to determine the duration of technological operations at railway stations. Descriptions of fragments of the software implementation of a single-layer artificial neural network are given. A similar problem can be solved when determining the duration of other technological operations: loading, unloading, processing of a train by teams of production and technical departments, etc.
Recommendations are given on the use of neural network theory in the educational process of BelSUT students when performing laboratory work both by constructing a neural network and by training it based on training samples (depending on the student’s specialty); course projects, within the framework of which the tasks of determining the duration of technological operations for a given operational situation may be additionally set, as well as within the framework of diploma design. The tasks may be set of both determining the optimal sample size that guarantees a given level of accuracy in establishing the values of the duration of technological operations, and determining the accuracy for a given sample size.

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