The application of neural networks for the life-cycle analysis of road and rail rolling stock during the operational phase
The aim of this article is to assess the possibility of using neural networks to analyse the life cycle of rolling stock in the operational phase by selecting the number of rolling stock sets and rail using the example of public transport in the Szczecin agglomeration. The research was conducted in...
| Main Authors: | , |
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| Format: | Article |
| Language: | English |
| Published: |
Sciendo
2022-01-01
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| Series: | Technical Transactions |
| Subjects: | |
| Online Access: | https://doi.org/10.37705/TechTrans/e2022002 |