APPLICATION OF ARTIFICIAL NEURAL NETWORKS TO PREDICT RAILWAY SWITCH DURABILITY

APPLICATION OF ARTIFICIAL NEURAL NETWORKS TO PREDICT RAILWAY SWITCH DURABILITY

The article presents the possibility of applying artificial intelligence to forecast necessary repairs on ordinary railway switches. Railway switch data from Katowice and Katowice Szopienice Północne Stations were used to model neural structures. Using the prepared data set (changes in values of nom...

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Bibliographic Details
Main Authors: Łukasz GIBAŁA, Jarosław KONIECZNY
Format: Article
Language:English
Published: Silesian University of Technology 2018-12-01
Series:Scientific Journal of Silesian University of Technology. Series Transport
Subjects:
artificial neural networks
railway switch
maintenance
prediction
Online Access:http://sjsutst.polsl.pl/archives/2018/vol101/067_SJSUTST101_2018_Gibala_Konieczny.pdf
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