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Prediction of crushed numbers and sizes of ballast particles after breakage using machine learning techniques

Peyman Aela, Junyi Wang, Kaveh Yousefian, Hao Fu, Zhen‐Yu Yin, Guoqing Jing

2022Construction and Building Materials31 citationsDOI

Topics & Concepts

BallastBreakageSupport vector machineParticle (ecology)Mean squared errorBackpropagationArtificial neural networkDiscrete element methodEngineeringMaterials scienceStructural engineeringComputer scienceMathematicsStatisticsArtificial intelligenceComposite materialMechanicsPhysicsGeologyOceanographyElectrical engineeringRock Mechanics and ModelingTunneling and Rock MechanicsInfrastructure Maintenance and Monitoring
Prediction of crushed numbers and sizes of ballast particles after breakage using machine learning techniques | Litcius