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A hybrid random forest method fusing wavelet transform and variable importance for the quantitative analysis of K in potassic salt ore using laser-induced breakdown spectroscopy

Yu Ding, Wan Zhang, Xingqiang Zhao, Liwen Zhang, Fei Yan

2020Journal of Analytical Atomic Spectrometry33 citationsDOI

Abstract

The aims of this study were to explore the feasibility of using LIBS technology combined with a hybrid RF algorithm for quantitative analysis of K in potash ore.

Topics & Concepts

Laser-induced breakdown spectroscopyPotashSalt (chemistry)Random forestWaveletSpectroscopyAnalytical Chemistry (journal)Materials scienceMineralogyAlgorithmLaserEnvironmental scienceComputer scienceChemistryPotassiumArtificial intelligenceEnvironmental chemistryMetallurgyOpticsPhysicsQuantum mechanicsPhysical chemistryLaser-induced spectroscopy and plasmaAnalytical chemistry methods developmentMinerals Flotation and Separation Techniques
A hybrid random forest method fusing wavelet transform and variable importance for the quantitative analysis of K in potassic salt ore using laser-induced breakdown spectroscopy | Litcius