Quantitative Analysis of Multi-Component Gases in Underground by Improved PSO-SVM Algorithm

DUAN Xiao-li; WANG Ming-quan

doi:10.3964/j.issn.1000-0593(2019)09-2883-06

Journals >Spectroscopy and Spectral Analysis >Volume 39 >Issue 9 >Page 2883 > Article

Spectroscopy and Spectral Analysis
Vol. 39, Issue 9, 2883 (2019)

Quantitative Analysis of Multi-Component Gases in Underground by Improved PSO-SVM Algorithm

DUAN Xiao-li^1、2、* and WANG Ming-quan¹

Author Affiliations

¹[in Chinese]

²[in Chinese]

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DOI: 10.3964/j.issn.1000-0593(2019)09-2883-06 Cite this Article

DUAN Xiao-li, WANG Ming-quan. Quantitative Analysis of Multi-Component Gases in Underground by Improved PSO-SVM Algorithm[J]. Spectroscopy and Spectral Analysis, 2019, 39(9): 2883 Copy Citation Text

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References

[1] Wu Hongpeng, Dong Lei, Zheng Huadan, et al. Nature Communication, 2017, 8: 15331.

[5] Cao Y, Sanchez N, Griffin R J, et al. Optics Express, 2015, 23: 2121.

[9] Yin Xukun, Dong lei, Wu Hongpeng, et al. Sensors and Actuators B, 2017, 247: 329.

[15] Li Duan, Zhang Hongxin, Muhammad, et al. The Journal of China Universities of Posts and Telecommunications, 2017, 24(3): 83.

DUAN Xiao-li, WANG Ming-quan. Quantitative Analysis of Multi-Component Gases in Underground by Improved PSO-SVM Algorithm[J]. Spectroscopy and Spectral Analysis, 2019, 39(9): 2883

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