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Accuracy improvement of iron ore analysis using laser-induced breakdown spectroscopy with a hybrid sparse partial least squares and least-squares support vector machine model

The quantitative analysis of iron ore by laser-induced breakdown spectroscopy (LIBS) is usually complicated due to the nonlinear self-absorption and matrix effects. To overcome this challenge, a hybrid sparse partial least squares (SPLS) and least-squares support vector machine (LS-SVM) model was proposed to

Authors:   Lianbo Guo; Yangmin Guo; Zhongqi Hao; Yun Tang; Shixiang Ma; Qingdong Zeng; Shi-Song Tang; Xiangyou Li; Yong-Feng Lu; Xiaoyan Zeng
Journal:   Journal of Analytical Atomic Spectrometry
DOI:   10.1039/C8JA00119G
Facts, background information, dossiers
  • matrix effects
  • absorption
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