• Infrared and Laser Engineering
  • Vol. 50, Issue 5, 20200490 (2021)
Yanwei Yang1、2, Lili Zhang1、2, Xiaojian Hao2, and Ruizhong Zhang3
Author Affiliations
  • 1Department of Physics, Luliang University, Lvliang 033000, China
  • 2Key Laboratory of Instrumentation Science and Dynamic Measurement, North University of China, Taiyuan 030051, China
  • 3Shanxi Huaxing Aluminum Industry Co.Ltd., Lvliang 033603, China
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    DOI: 10.3788/IRLA20200490 Cite this Article
    Yanwei Yang, Lili Zhang, Xiaojian Hao, Ruizhong Zhang. Classification of iron ore based on machine learning and laser induced breakdown spectroscopy[J]. Infrared and Laser Engineering, 2021, 50(5): 20200490 Copy Citation Text show less
    Schematic diagram of the experimental setup
    Fig. 1. Schematic diagram of the experimental setup
    TM feature extraction diagram
    Fig. 2. TM feature extraction diagram
    Schematic diagram of KNN
    Fig. 3. Schematic diagram of KNN
    Structure of the RF
    Fig. 4. Structure of the RF
    Hyperplane of 2D linear classification
    Fig. 5. Hyperplane of 2D linear classification
    (a) Characteristic plot of pyrite; (b) Spectral characteristics of 10 ores
    Fig. 6. (a) Characteristic plot of pyrite; (b) Spectral characteristics of 10 ores
    Confusion matrix of classification model. (a) KNN; (b) RF; (c) SVM
    Fig. 7. Confusion matrix of classification model. (a) KNN; (b) RF; (c) SVM
    Yanwei Yang, Lili Zhang, Xiaojian Hao, Ruizhong Zhang. Classification of iron ore based on machine learning and laser induced breakdown spectroscopy[J]. Infrared and Laser Engineering, 2021, 50(5): 20200490
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