Predicting the traction power of metropolitan railway lines using different machine learning models

Reference : Predicting the traction power of metropolitan railway lines using different machine l...


	Document type :	Scientific journals : Article
	Discipline(s) :	Engineering, computing & technology : Computer science
	To cite this reference:	http://hdl.handle.net/10993/53928

Title :	Predicting the traction power of metropolitan railway lines using different machine learning models
Language :	English
Author, co-author :	Pineda Jaramillo, Juan Diego [University of Luxembourg > Faculty of Science, Technology and Medicine (FSTM) > Department of Engineering (DoE)]
	Martinez-Fernandez, P. [> >]
	Villalba-Sanchis, I. [> >]
	Salvador-Zuriaga, P. [> >]
	Insa-Franco, R. [> >]
Publication date :	2021
Journal title :	International Journal of Rail Transportation
Publisher :	Taylor Francis
Pages :	461--478
Peer reviewed :	Yes
Audience :	International
Permalink :	http://hdl.handle.net/10993/53928

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