An overview of neural network application in railway transport design

Applications of neural networks in railway transport design are overviewed. Examples of successful application of these technologies for analyzing large amounts of data, predicting malfunctions, and improving user experience are considered. The article also examines promising areas of neural network use in the future, emphasizing their importance for the sustainable development of the railway industry.