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The application of neural networks for the life-cycle analysis of road and rail rolling stock during the operational phase Cover

The application of neural networks for the life-cycle analysis of road and rail rolling stock during the operational phase

Technical Transactions
Volume 119 (2022): Issue 1 (January 2022)
By: Paweł Regulski and  Karol F. Abramek  
Open Access
|Mar 2022

Authors

Paweł Regulski

regulski85@gmail.com

Department of Automotive Engineering, Faculty of Mechanical Engineering and Mechatronics, West Pomeranian University of Technology in Szczecin

Karol F. Abramek

kabramek@zut.edu.pl

Department of Automotive Engineering, Faculty of Mechanical Engineering and Mechatronics, West Pomeranian University of Technology in Szczecin
DOI: https://doi.org/10.37705/TechTrans/e2022002 | Journal eISSN: 2353-737X | Journal ISSN: 0011-4561
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Language: English
Submitted on: Nov 15, 2021
|
Accepted on: Feb 22, 2022
|
Published on: Mar 7, 2022
Published by: Cracow University of Technology
In partnership with: Paradigm Publishing Services
Publication frequency: 1 issue per year
Keywords:
neural networks,
life cycle,
road rolling stock,
rail rolling stock,
operation
Related subjects:
Architecture and design,
Architecture,
Architects, buildings,
Engineering,
Mechanical engineering,
Mechanics,
Industrial chemistry,
Chemical engineering,
Materials sciences,
Materials sciences, other

© 2022 Paweł Regulski, Karol F. Abramek, published by Cracow University of Technology
This work is licensed under the Creative Commons Attribution-ShareAlike 4.0 License.

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