Litcius/Paper detail

Hybridized intelligent multi-class classifiers for rockburst risk assessment in deep underground mines

Roohollah Shirani Faradonbeh, Will Vaisey, Mostafa Sharifzadeh, Jian Zhou

2023Neural Computing and Applications12 citationsDOI

Topics & Concepts

Computer scienceCluster analysisCartArtificial intelligenceOutlierSupport vector machineData miningRobustness (evolution)Machine learningLogistic regressionClassifier (UML)EngineeringGeneMechanical engineeringChemistryBiochemistryRock Mechanics and ModelingLandslides and related hazardsMineral Processing and Grinding
Hybridized intelligent multi-class classifiers for rockburst risk assessment in deep underground mines | Litcius