A transferred multitask regularization convolutional neural network (TrMR-CNN) for laser-induced breakdown spectroscopy quantitative analysis
Jiacheng Cui, Weiran Song, Zongyu Hou, Weilun Gu, Zhe Wang
Abstract
A quantification method combining transfer learning, a convolutional neural network and multitask regularization to improve prediction accuracy and model robustness on limited data.
Topics & Concepts
Convolutional neural networkRegularization (linguistics)Robustness (evolution)Laser-induced breakdown spectroscopyComputer scienceTransfer of learningArtificial intelligenceMulti-task learningPattern recognition (psychology)Machine learningLaserChemistryPhysicsOpticsTask (project management)EngineeringSystems engineeringBiochemistryGeneLaser-induced spectroscopy and plasmaNuclear Physics and ApplicationsMercury impact and mitigation studies