Open AccessThe application of neural networks for the life-cycle analysis of road and rail rolling stock during the operational phase
Author(s) -
P. Regulski,
K. F. Abramek
Publication year - 2022
Publication title -
technical transactions
Language(s) - English
Resource type - Journals
eISSN - 2353-737X
pISSN - 0011-4561
DOI - 10.37705/techtrans/e2022002
Subject(s) - public transport , stock (firearms) , transport engineering , economies of agglomeration , passenger transport , artificial neural network , engineering , operations research , computer science , business , artificial intelligence , mechanical engineering , chemical engineering
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