Assessment of the running resistance of a diesel passenger train using evolutionary bilevel algorithms and operational data
Publication date:
2021
Publisher version:
Citación:
Engineering Applications of Artificial Intelligence, 105 (2021); doi:10.1016/j.engappai.2021.104405
ISSN:
Local Notes:
OA ATUO21
Patrocinado por:
This work has been partially supported by the Ministry of Economy, Industry and Competitiveness (‘‘Ministerio de Economía, Industria y Competitividad’’) from Spain/FEDER under grants TIN2017-84804-R and PID2020-112726RB-I00 and by the Regional Ministry of the Principality of Asturias (‘‘Consejería de Empleo, Industria y Turismo del Principado de Asturias’’), Spain under grant GRUPIN18-226.
Collections
- Artículos [33714]
- Informática [695]
- Investigaciones y Documentos OpenAIRE [7063]
Files in this item
Métricas
Compartir
Estadísticas de uso
Metadata
This item is protected with a Creative Commons License