Browsing Fakülteler / Faculties by Subject "rail track design; deterioration; inspection; assessment; artificial neural networks"

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

Güler, Hakan (TAYLOR & FRANCIS LTD, 2014)

The main goal of this paper is to model track geometry deterioration using a comprehensive field investigation gathered over a period of 2 years on approximately 180km of railway line. Artificial neural networks (ANNs) ...