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Weakly supervised learning of the motion resistance of a locomotive powered by liquefied natural gas

Author:
Sánchez Ramos, LucianoUniovi authority; Luque Rodríguez, PabloUniovi authority; Álvarez Mántaras, DanielUniovi authority; Otero Rodríguez, JoséUniovi authority; Costa Cortéz, Nahuel AlejandroUniovi authority
Publication date:
2023
Publisher version:
http://dx.doi.org/10.1007/978-3-031-18050-7_59
Citación:
Sánchez, L., Luque, P., Álvarez, D., Otero J., Costa, N.(2023). Weakly supervised learning of the motion resistance of a locomotive powered by liquefied natural gas. En P. García Brigas, et al. 17th International Conference on Soft Computing Models in Industrial and Environmental Applications, SOCO 2022 (p. 606-615). Cham, Switzerland : Springer
Serie:

Lecture Notes in Networks and Systems; v. 531

Descripción física:
p. 606-615
Description:

International Conference on Soft Computing Models in Industrial and Environmental Applications, SOCO 2022 (17th. 2022. Salamanca, Spain)

URI:
http://hdl.handle.net/10651/67635
ISBN:
9783031180491; 9783031180507
ISSN:
2367-3370
DOI:
10.1007/978-3-031-18050-7_59
Patrocinado por:

This work has been partially funded by grants from the Spanish Ministry of Economy, Industry and Competitiveness (ref. PID2020-112726-RB-I00) and the Principality of Asturias (ref. SV-PA-21-AYUD/2021/50994).

Id. Proyecto:

MINECO/PID2020-112726-RB-I00

SV-PA-21-AYUD/2021/50994

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