Infrared and Laser Engineering, Volume. 50, Issue 5, 20200490(2021)
Classification of iron ore based on machine learning and laser induced breakdown spectroscopy
[1] Zhang Bo, Min Hong, Liu Shu, et al. X-Ray fluorescence spectroscopy combined with discriminant analysis to identify imported iron ore origin and brand: Application development[J]. Spectroscopy and Spectral Analysis, 41, 258-291(2020).
[2] Chen Jinzhong, Ma Ruiling, Chen Zhenyu, et al. Enhancement effect of carbon chamber confinement on laser plasma radiation[J]. Optics and Precision Engineering, 21, 1942-1948(2013).
[3] Choi S U, Han S C, Yun J I. Hydrogen isotopic analysis using molecular emission from laser-induced plasma on liquid and frozen water[J]. Spectrochimica Acta Part B: Atomic Spectroscopy, 162, 105716(2019).
[4] Vanselow C, Stöbener D, Kiefer J, et al. Revealing the impact of laser-induced breakdown on a gas flow[J]. Measurement Science and Technology, 31, 027001(2019).
[5] Mei Yaguang, Cheng Yuxin, Cheng Shusen, et al. Simultaneous analysis of Si, Mn and Ti segregation in pig iron by laser-induced breakdown spectroscopy[J]. Infrared and Laser Engineering, 47, 0806003(2018).
[6] Wang Xianshuang, Guo Shuai, Xu Xiangjun, et al. Fast recognition and classification of tetrazole compounds based on laser-induced breakdown spectroscopy and raman spectroscopy[J]. Chinese Optics, 12, 888-895(2019).
[7] Li Ang'ze, Wang Xianshuang, Xu Xiangjun, et al. Fast classi-fication of tobacco based on laser-induced breakdown spectroscopy[J]. Chinese Optics, 12, 1139-1146(2019).
[8] Li Yeqiu, Sun Chenglin, Li Qian, et al. Analysis of the heavy metals in atmospheric particulate matter using dual-pulsed laser-induced breakdown spectroscopy[J]. Infrared and Laser Engineering, 48, 1005006(2019).
[9] Gazeli O, Bellou E, Stefas D, et al. Laser-based classification of olive oils assisted by machine learning[J]. Food Chemistry, 302, 1-7(2020).
[10] Peng Haobin, Chen Guohua, Chen Xiaoxian, et al. Hybrid classification of coal and biomass by laser-induced breakdown spectroscopy combined with K-means and SVM[J]. Plasma Science and Technology, 21, 64-72(2019).
[11] Diaz D, Hahn D W, Molina A, et al. Evaluation of Laser-Induced Breakdown Spectroscopy (LIBS) as a measurement technique for evaluation of total elemental concentration in soils[J]. Applied Spectroscopy, 66, 99-106(2012).
[12] Li Xiaohui, Yang Sibo, Fan Rongwei, et al. Discrimination of soft tissues using laser-induced breakdown spectroscopy in combination with k nearest neighbors (kNN) and support vector machine (SVM) classifiers[J]. Optics and Laser Technology, 102, 233-239(2018).
[13] Wang P, Li N, Yan C, et al. Rapid quantitative analysis of the acidity of iron ore by laser-induced breakdown spectroscopy (LIBS) technique coupled with variable importance measurement-random forest (VIM-RF)[J]. Analytical Methods, 11, 1-10(2019).
[14] Zhao Yun, Guindo M L, Xu Xing, et al. Deep learning associated with laser-induced breakdown spectroscopy (LIBS) for the prediction of lead in soil[J]. Applied Spectroscopy, 73, 565-573(2019).
Get Citation
Copy Citation Text
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
Category: Spectroscopy
Received: Dec. 10, 2020
Accepted: --
Published Online: Aug. 13, 2021
The Author Email: