Chinese Journal of Lasers, Volume. 51, Issue 23, 2311003(2024)
Quantitative Prediction of Heavy Metal Elements in white peony root Using Laser‐Induced Breakdown Spectroscopy and Semi‐Supervised Sequential Learning
[7] Zhou J J, Li M G, Zhang T L et al. Quantitative analysis of Sc in rare-earth ores via laser-induced breakdown spectroscopy combined with random forest[J]. Chinese Journal of Lasers, 51, 0211001(2024).
[18] Sun C Y, Jiao L, Yan N Y et al. Identification of Salvia miltiorrhiza from different origins by laser induced breakdown spectroscopy combined with artificial neural network[J]. Spectroscopy and Spectral Analysis, 43, 3098-3104(2023).
[19] Wen D P. Qualitative and quantitative analysis of Chinese medicinal materials based on machine learning and LIBS technology[D], 42-58(2021).
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Fudong Nian, Yujie Hu, Fuqiang Chen, Zhao Cheng, Yanhong Gu. Quantitative Prediction of Heavy Metal Elements in white peony root Using Laser‐Induced Breakdown Spectroscopy and Semi‐Supervised Sequential Learning[J]. Chinese Journal of Lasers, 2024, 51(23): 2311003
Category: spectroscopy
Received: Apr. 19, 2024
Accepted: May. 27, 2024
Published Online: Dec. 10, 2024
The Author Email: Gu Yanhong (guyh@hfuu.edu.cn)
CSTR:32183.14.CJL240790