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...
| Main Authors: | , |
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| Format: | Article |
| Language: | English |
| Published: |
Silesian University of Technology
2018-12-01
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| Series: | Scientific Journal of Silesian University of Technology. Series Transport |
| Subjects: | |
| Online Access: | http://sjsutst.polsl.pl/archives/2018/vol101/067_SJSUTST101_2018_Gibala_Konieczny.pdf |