• Infrared and Laser Engineering
  • Vol. 45, Issue 6, 617011 (2016)
Guo Tiantai1、*, Hong Bo1, Pan Zengrong2, and Kong Ming1
Author Affiliations
  • 1[in Chinese]
  • 2[in Chinese]
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    DOI: 10.3788/irla201645.0617011 Cite this Article
    Guo Tiantai, Hong Bo, Pan Zengrong, Kong Ming. Application of improved SVM in quantitative analysis of mine gas concentration[J]. Infrared and Laser Engineering, 2016, 45(6): 617011 Copy Citation Text show less
    References

    [1] Zhang Liqing, Qin Yujin, Jiang Wenzhong, et al. State-of-the-art of the prediction method and prospect of mine gas emission in China[J]. Coal Mine Safety, 2007(8): 58-60. (in Chinese)

    [2] Li Jingyu, Zhang Yingwei, Li Wenzhe, et al. Study on biogas content by gas chromatography[J]. Study on Agricultural Mechanization, 2015(6): 255-257. (in Chinese)

    [3] Wang Xiaozeng, Yang Jiuhong, Zeng Hui. Study of CH4 electrochemical sensor non-linear self-correction in extended range[J]. Coal Mine Safety, 2010(9): 18-20. (in Chinese)

    [4] Chen Yuanyuan, Wang Zhibin, Wang Zhaoba, et al. Research on concentration retrieval of gas FTIR spectra by interval extreme learning machine and genetic algorithm[J]. Spectroscopy and Spectral Analysis, 2014, 34(5): 1244-1248. (in Chinese)

    [5] Zheng Longjiang, Li Peng, Qin Ruifeng, et al. Research situation and developing tendency for optical measurement technology of gas density[J]. Laser & Optoelectronics Progress, 2008, 45(8): 24-32. (in Chinese)

    [6] Richter D, Fried A. Development of a tunable mid-IR difference frequency laser source for highly sensitive airborne trace gas detection[J]. Appl phys B, 2002, (75): 281-288.

    [7] Liang Yuntao, Tang Xiaojun, Luo Haizhu, et al. Quantitative spectrum analysis of characteristic gases of spontaneous combustion coal[J]. Spectroscopy and Spectral Analysis, 2011(9): 2480-2484. (in Chinese)

    [8] Li Li, Wang Yiding, Li Shuwei. Application of infrared gas detection technology to safe production and transportation in natural gas industry[J]. Natural Gas Industry, 2011, 31(1): 1-5. (in Chinese)

    [9] Zhang Lin, Shao Shengyu, Yang Liu, et al. Progress of research on infrared spectrometry in gas quantitative analysis[J]. Analytical Instruments, 2009(2): 6-9. (in Chinese)

    [10] Zhao Jianhua, Gao Mingliang, Wu Xiujuan. Study on the quantitative analysis of common fire toxic gases by PLS-BP model[J]. Fire Safety Science, 2010(3): 158-164. (in Chinese)

    [11] Tang Xiaojun, Hao Huimin, Li Yujun, et al. Analysis of mixed alkane gas based on tikhonov regularization spectra selection and optimal neural network parameters selection[J]. Spectroscopy and Spectral Analysis, 2011(6): 1673-1677. (in Chinese)

    [12] Bai Peng, Xie Wenjun, Liu Junhua. New method of mixed gas infrared spectrum analysis based on SVM[J]. Spectroscopy and Spectral Analysis, 2007, 27(7): 1323-1327. (in Chinese)

    [13] Wang Yuanbin. Infrared spectrum analysis of the gas in coal mine based on SVM[J]. Intelligent Computing and Intelligent System, 2009(1): 608-611.

    [14] Jin Ye, Yang Kai, Wu Yongjiang, et al. Application of particle swarm optimization based least square support vector machine in quantitative analysis of extraction solution of safflower using near-infrared spectroscopy[J]. Chinese Journal of Analytical Chemistry, 2012, 40(6): 925-931. (in Chinese)

    [15] Gu Yanping, Zhao Wenjie, Wu Zhansong. Least squares support vector machine algorithm[J]. J Tsinghua Univ(Sci & Tech), 2010, 50(7): 1063-1066. (in Chinese)

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    Guo Tiantai, Hong Bo, Pan Zengrong, Kong Ming. Application of improved SVM in quantitative analysis of mine gas concentration[J]. Infrared and Laser Engineering, 2016, 45(6): 617011
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