Enhancing multi-type coal quality prediction accuracy with fusion spectra and classification models using NIRS and XRF techniques
Zhedong Zhang, Jiaxuan Li, Rui Gao, Yang Zhao, Yan Zhang, Lei Zhang, Zefu Ye, Zhujun Zhu, Peihua Zhang, Wangbao Yin, Suotang Jia
Abstract
The various analytical indices of coal are important criteria for evaluating the quality of commercial coal.
Topics & Concepts
CoalFusionArtificial intelligencePattern recognition (psychology)Quality (philosophy)Computer scienceEngineeringWaste managementPhysicsPhilosophyLinguisticsQuantum mechanicsMineral Processing and GrindingSpectroscopy and Chemometric AnalysesGeochemistry and Geologic Mapping