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Combination prediction of underground mine rock drilling time based on seasonal and trend decomposition using Loess

LI Nin, Ding Liu, Liguan Wang, Haiwang Ye, Qizhou Wang, Dairong Yan, Shugang Zhao

2024Engineering Applications of Artificial Intelligence11 citationsDOI

Topics & Concepts

Mean absolute percentage errorDrillingComputer sciencePredictive modellingLoessRandom forestExtreme learning machineTime seriesComponent (thermodynamics)Autoregressive integrated moving averageArtificial intelligenceData miningGeologyMachine learningArtificial neural networkEngineeringGeomorphologyMechanical engineeringPhysicsThermodynamicsMineral Processing and GrindingGeoscience and Mining TechnologyCoal Properties and Utilization
Combination prediction of underground mine rock drilling time based on seasonal and trend decomposition using Loess | Litcius