Quantitative analysis of potentially toxic elements in soil by XRF based on efficient reinforcement learning and sparse partial least squares
Shubin Lyu, Fusheng Li, Wanqi Yang, Qinglun Zhang, J. Su, Ruqing Zhao, Xin Lu
Abstract
The relationship between XRF spectra and potentially toxic elements in soils is accurately established using a combination of efficient Q-learning and sparse partial least squares.
Topics & Concepts
Partial least squares regressionSoil waterReinforcementBiological systemEnvironmental chemistryChemistryEnvironmental scienceMathematicsMaterials scienceSoil scienceStatisticsComposite materialBiologyMineral Processing and GrindingSpectroscopy and Chemometric AnalysesGeochemistry and Geologic Mapping