Spectroscopy and Spectral Analysis, Volume. 42, Issue 8, 2387(2022)
Quantitative Analysis of Soil Heavy Metal Elements Based on Cavity Confinement LIBS Combined With Machine Learning
Fig. 2. Intensities of Ni and Ba with delay time under two LIBS conditions
Fig. 3. The SNR of two elements under different conditions
(a): Ni Ⅱ 221.648 nm; (b): Ba Ⅱ 475.709 nm
Fig. 4. The enhancement factors of Ni and Ba elements with delay time
Fig. 5. Cumulative contribution rate of principal components after PCA dimensionality reduction
Fig. 6. The prediction results of Ni element using different models
(a): Lasso; (b): AdaBoost; (c): RF
Fig. 7. The prediction results of Ba element using different models
(a): Lasso; (b): AdaBoost; (c): RF
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Ye-kun LIU, Xiao-jian HAO, Yan-wei YANG, Wen-yuan HAO, Peng SUN, Bao-wu PAN. Quantitative Analysis of Soil Heavy Metal Elements Based on Cavity Confinement LIBS Combined With Machine Learning[J]. Spectroscopy and Spectral Analysis, 2022, 42(8): 2387
Category: Orginal Article
Received: Jul. 11, 2021
Accepted: --
Published Online: Mar. 17, 2025
The Author Email: LIU Ye-kun (931262129@qq.com)