Correction of moisture interference in laser-induced breakdown spectroscopy detection of coal by combining neural networks and random spectral attenuation
Ji Chen, Qingzhou Li, Ke Liu, Xiangyou Li, Bing Lu, Guqiang Li
Abstract
Increased humidity causes terrible accuracy in laser-induced breakdown spectroscopy analysis of coal. The moisture interference was reduced using artificial neural networks (ANN) combined with random spectral attenuation in this study.
Topics & Concepts
AttenuationLaser-induced breakdown spectroscopyInterference (communication)SpectroscopyArtificial neural networkMoistureHumidityMaterials scienceCoalLaserEnvironmental scienceRemote sensingAnalytical Chemistry (journal)Biological systemOpticsChemistryGeologyComputer scienceEngineeringPhysicsEnvironmental chemistryMeteorologyArtificial intelligenceComposite materialTelecommunicationsWaste managementBiologyChannel (broadcasting)Quantum mechanicsLaser-induced spectroscopy and plasmaSpectroscopy and Chemometric AnalysesAnalytical chemistry methods development