Login
Register
Reset Password
Publish & Distribute
Publishing Solutions
Distribution Solutions
Subjects
Architecture and Design
Arts
Business and Economics
Chemistry
Classical and Ancient Near Eastern Studies
Computer Sciences
Cultural Studies
Engineering
General Interest
Geosciences
History
Industrial Chemistry
Jewish Studies
Law
Library and Information Science, Book Studies
Life Sciences
Linguistics and Semiotics
Literary Studies
Materials Sciences
Mathematics
Medicine
Music
Pharmacy
Philosophy
Physics
Social Sciences
Sports and Recreation
Theology and Religion
Publications
Journals
Books
Proceedings
Publishers
Blog
Contact
Search
EUR
USD
GBP
English
English
Deutsch
Polski
Español
Français
Italiano
Cart
Home
Journals
Technical Transactions
Volume 119 (2022): Issue 1 (January 2022)
Open Access
The application of neural networks for the life-cycle analysis of road and rail rolling stock during the operational phase
Paweł Regulski
Paweł Regulski
and
Karol F. Abramek
Karol F. Abramek
| Mar 07, 2022
Technical Transactions
Volume 119 (2022): Issue 1 (January 2022)
About this article
Previous Article
Next Article
Abstract
References
Authors
Articles in this Issue
Preview
PDF
Cite
Share
Published Online:
Mar 07, 2022
Page range:
-
Received:
Nov 15, 2021
Accepted:
Feb 22, 2022
DOI:
https://doi.org/10.37705/TechTrans/e2022002
Keywords
neural networks
,
life cycle
,
road rolling stock
,
rail rolling stock
,
operation
© 2022 Paweł Regulski et al., published by Sciendo
This work is licensed under the Creative Commons Attribution-ShareAlike 4.0 International License.
Paweł Regulski
Department of Automotive Engineering, Faculty of Mechanical Engineering and Mechatronics, West Pomeranian University of Technology in Szczecin
Karol F. Abramek
Department of Automotive Engineering, Faculty of Mechanical Engineering and Mechatronics, West Pomeranian University of Technology in Szczecin