Classification and identification of brands of iron ores using laser-induced breakdown spectroscopy combined with principal component analysis and artificial neural networks
Yawen Yang, Chen Li, Shu Liu, Hong Ki Min, Chenglin Yan, Minli Yang, Jin Yu
Abstract
In this work, PCA-ANN models of LIBS spectra were developed to classify and identify iron ores according to the production countries and brands.
Topics & Concepts
Laser-induced breakdown spectroscopyPrincipal component analysisArtificial neural networkIdentification (biology)SpectroscopyComponent (thermodynamics)Iron orePattern recognition (psychology)ChemistryArtificial intelligenceBiological systemMaterials scienceMetallurgyComputer sciencePhysicsBotanyBiologyThermodynamicsQuantum mechanicsLaser-induced spectroscopy and plasmaCultural Heritage Materials AnalysisHeavy Metals in Plants