PREDICTION OF RAILWAY TRACK GEOMETRY DETERIORATION USING ARTIFICIAL NEURAL NETWORKS: A CASE STUDY FOR TURKISH STATE RAILWAYS

Güler, Hakan

dc.contributor.authors	Hakan Guler
dc.date.accessioned	2020-03-06T08:08:09Z
dc.date.available	2020-03-06T08:08:09Z
dc.date.issued	2012
dc.identifier.citation	Hakan Guler (2012). PREDICTION OF RAILWAY TRACK GEOMETRY DETERIORATION USING ARTIFICIAL NEURAL NETWORKS: A CASE STUDY FOR TURKISH STATE RAILWAYS. Structure and Infrastructure Engineering, , -
dc.identifier.uri	https://doi.org/10.1080/15732479.2012.757791
dc.identifier.uri	https://hdl.handle.net/20.500.12619/67273
dc.title	PREDICTION OF RAILWAY TRACK GEOMETRY DETERIORATION USING ARTIFICIAL NEURAL NETWORKS: A CASE STUDY FOR TURKISH STATE RAILWAYS
dc.contributor.department	Sakarya Üniversitesi/Mühendislik Fakültesi/İnşaat Mühendisliği Bölümü
dc.contributor.saüauthor	Güler, Hakan
dc.relation.journal	Structure and Infrastructure Engineering
dc.identifier.wos	SAU
dc.identifier.doi	10.1080/15732479.2012.757791
dc.contributor.author	Güler, Hakan