Prediction of railway track geometry deterioration using artificial neural networks: a case study for Turkish state railways

Güler, Hakan

dc.contributor.authors	HAKAN GÜLER;
dc.date.accessioned	2020-03-06T08:07:32Z
dc.date.available	2020-03-06T08:07:32Z
dc.date.issued	2014
dc.identifier.citation	HAKAN GÜLER; (2014). Prediction of railway track geometry deterioration using artificial neural networks: a case study for Turkish state railways. Structure and Infrastructure Engineering: Maintenance, Management, Life-Cycle Design and Performance, 10 (5), -614–626
dc.identifier.issn	1744-8980
dc.identifier.uri	https://doi.org/10.1080/15732479.2012.757791
dc.identifier.uri	https://hdl.handle.net/20.500.12619/67123
dc.title	Prediction of railway track geometry deterioration using artificial neural networks: a case study for Turkish state railways
dc.identifier.volume	10 (5)
dc.identifier.startpage	614–626
dc.contributor.department	Sakarya Üniversitesi/Mühendislik Fakültesi/İnşaat Mühendisliği Bölümü
dc.contributor.saüauthor	Güler, Hakan
dc.relation.journal	Structure and Infrastructure Engineering: Maintenance, Management, Life-Cycle Design and Performance
dc.identifier.doi	10.1080/15732479.2012.757791
dc.contributor.author	Güler, Hakan