Extreme learning machines for predicting operation disruption events in railway systems

Safety, Reliability and Risk Analysis: Beyond the Horizon - Proceedings of the European Safety and Reliability Conference, ESREL 2013

Volumn , Issue , 2014, Pages 1781-1787

  Fink, O ^a   Weidmann, U ^a   Zio, E ^b,c  

^a ETH ZURICH   (Switzerland)

^b EDF R AND D   (France)

^c POLITECNICO DI MILANO   (Italy)

Author keywords

[No Author keywords available]

Indexed keywords

FEEDFORWARD NEURAL NETWORKS; FORECASTING; KNOWLEDGE ACQUISITION; LEARNING SYSTEMS; RELIABILITY;

CONTINUOUSLY MEASURED DATA; EXTREME LEARNING MACHINE; GENERALIZATION ABILITY; MACHINE LEARNING TECHNIQUES; MAINTENANCE EXPENDITURES; MONITORING AND DIAGNOSTICS; OPERATIONAL RELIABILITY; REMAINING USEFUL LIVES;

RAILROAD TRANSPORTATION;

EID: 84900032120     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: None     Document Type: Conference Paper

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