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2014•Journal of Analytical Atomic SpectrometryRequires access

Classification of iron ores by laser-induced breakdown spectroscopy (LIBS) combined with random forest (RF)

Liwen Sheng, Tianlong Zhang, Guanghui Niu, Kang Wang, Hongsheng Tang, Yixiang Duan, Hua Li

Open publisher page 135 citations

Abstract

Laser-induced breakdown spectroscopy combined with the random forest (RF) algorithm was proposed for the classification of ten iron ore samples.

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What this paper is about

Laser-induced breakdown spectroscopy combined with the random forest (RF) algorithm was proposed for the classification of ten iron ore samples.

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OpenAlex reports 135 citations for this work. Citation counts describe recorded attention and do not establish research quality.

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Available abstract

Laser-induced breakdown spectroscopy combined with the random forest (RF) algorithm was proposed for the classification of ten iron ore samples.

Key concepts: Laser-induced breakdown spectroscopy, Random forest, Spectroscopy, Materials science, Laser, Analytical Chemistry (journal), Environmental science, Chemistry

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