An ensemble classifier to predict track geometry degradation

Author:

Cárdenas-Gallo Iván,Sarmiento Carlos A.,Morales Gilberto A.,Bolivar Manuel A.,Akhavan-Tabatabaei Raha

Publisher

Elsevier BV

Subject

Industrial and Manufacturing Engineering,Safety, Risk, Reliability and Quality

Reference47 articles.

1. Andersson, M. Strategic planning of track maintenance - State of the art. Report TRITA-INFRA, Department of Infrastructure, Royal Institute of Technology; 2002. p. 02–035.

2. Statistical modelling of railway track geometry degradation using Hierarchical Bayesian models;Andrade;Reliab Eng Syst Saf,2015

3. Association of American Railroads (AAR). Economic and Public Benefits, Available online at 〈https://www.aar.org/todays-railroads〉; September 2015.

4. Evaluating multiple classifiers for stock price direction prediction;Ballings;Expert Syst Appl,2015

5. An empirical comparison of voting classification algorithms: bagging, boosting, and variants;Bauer;Mach Learn,1999

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