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The quantitative analysis models of multiple linear regression, neural network regression and support vector machine regression with laser-induced breakdown spectroscopy are established in this paper. Heavy metal Ni in water selected as research object is tested and comparativly analyzed. The average relative standard deviations of multiple linear regression, neural network regression and support vector machine regression are 7.60%, 4.86% and 2.35%, and the maximum standard deviations are 23.35%, 15.20% and 8.29% respectively, the average relative errors are 25.98%, 10.58% and 2.72%, and the maximum relative errors are 116.47%, 47.38% and 9.89% respectively. Methods and reference data are provided for the further study of fast measurement of tracing heavy metals in water by laser induced breakdown spectroscopy technique.
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Keywords:
- spectroscopy /
- laser-induced breakdown spectroscopy /
- support vector machine regression /
- heavy metals
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[2] Sun D X, Su M G, Dong C Z 2010 Acta Phys. Sin. 59 4571 (in Chinese) [孙对兄, 苏茂根, 董晨钟 2010 59 4571]
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[8] Alsulmi A S 2008 Ph. D. Dissertation (Saudi Arabia: Kingdom of Saudi Arabia Ministry of Higher Education King Saud University)
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[18] Chen G, Zhou J 2008 Acta Metrol. Sin. 29 92 (in Chinese) [陈果, 周伽 2008 计量学报 29 92]
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[21] Hou Z Y, Yao S W, Gu Y Q 2006 J. Henan Normal Univ. 34 75 (in Chinese) [侯振雨, 姚树文, 谷永庆 2006 河南师范大学学报 34 75]
[22] Zhang X, Liu X M, Xiao X L 2005 Chin. J. Eng. Geophys. 2 191 (in Chinese) [张翔, 刘晓敏, 肖小玲 2005工程地球 2 191]
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[1] Sadegh Cheri M, Tavassoli S H 2011 Appl. Opt. 50 1227
[2] Sun D X, Su M G, Dong C Z 2010 Acta Phys. Sin. 59 4571 (in Chinese) [孙对兄, 苏茂根, 董晨钟 2010 59 4571]
[3] Lu C P, Liu W Q, Zhao N J 2011 Acta Phys. Sin. 60 045206 (in Chinese) [鲁翠平, 刘文清, 赵南京 2011 60 045206]
[4] Dong M R, Lu J D, Yao S C 2012 J. Engineer. Thermophys. 33 175 (in Chinese) [董美蓉, 陆继东, 姚顺春 2012 工程热 33 175]
[5] Wang Z, Feng J, Li L Z 2011 J. Anal. At. Spectrom. 26 2289
[6] Wang Z, Feng J, Li L Z 2011 J. Anal. At. Spectrom. 26 2175
[7] Shen Q M, Zhou W D, Li K X 2010 Acta Photon. Sin. 39 2134 (in Chinese) [沈沁梅, 周卫东, 李科学 2010 光子学报 39 2134]
[8] Alsulmi A S 2008 Ph. D. Dissertation (Saudi Arabia: Kingdom of Saudi Arabia Ministry of Higher Education King Saud University)
[9] Díaz Pace D M 2006 Spectrochim. Acta B 61 929
[10] Wu J Q, Chang L, Liu L M 2010 Appl. Laser. 30 340 (in Chinese) [吴金泉, 常亮, 刘林美 2010 应用激光 30 340]
[11] Chen Z J, Li H K 2008 Spectrochim. Acta B 63 64
[12] Zhao F, Zhang Q, Xiong W 2010 Environ. Sci. Technol. 33 137 (in Chinese) [赵芳, 张谦, 熊威 2010 环境科学与技术 33 137]
[13] Zhong S L, Lu Y, Cheng K 2011 Spectrosc. Spectral Anal. 31 1458 (in Chinese) [钟石磊, 卢渊, 程凯 2011 光谱学与光谱分析 31 1458]
[14] Wu J L, Fu Y X 2008 Spectrosc. Spectral Anal. 28 1979 (in Chinese) [吴江来, 傅院霞 2008 光谱学与光谱分析 28 1979]
[15] Xiu J S, Hou H M, Zheng R E 2011 Chin. J. Lasers 38 0815003 (in Chinese) [修俊山, 侯华明, 郑荣儿 2011中国激光 38 0815003]
[16] Zhu B F, Xu G Y, Li J M 2007 Instrum. Metrol. Technol. 1 39 (in Chinese) [朱滨峰, 徐桂云, 李俊敏 2007 仪器仪表标准化与计量 1 39]
[17] Xu H M, Wang H Y, Liang J 2010 J. Beijing Institute Petro-Chem. Technol. 18 62 (in Chinese) [徐红敏, 王海英, 梁瑾 2010 北京石油化工学院学报 18 62]
[18] Chen G, Zhou J 2008 Acta Metrol. Sin. 29 92 (in Chinese) [陈果, 周伽 2008 计量学报 29 92]
[19] Liu X F, Wang J D 2011 Informat. Res. 37 46 (in Chinese) [刘小飞, 王建东 2011 信息化研究 37 46]
[20] Zhang X S, Wang L, Pan F 2012 Comput. Engineer. 38 175 (in Chinese) [张相胜, 王 蕾, 潘 丰 2012 计算机工程 38 175]
[21] Hou Z Y, Yao S W, Gu Y Q 2006 J. Henan Normal Univ. 34 75 (in Chinese) [侯振雨, 姚树文, 谷永庆 2006 河南师范大学学报 34 75]
[22] Zhang X, Liu X M, Xiao X L 2005 Chin. J. Eng. Geophys. 2 191 (in Chinese) [张翔, 刘晓敏, 肖小玲 2005工程地球 2 191]
[23] Guo S X, Wang Y F, Chen A 2007 Comput. Engineer. Appl. 43 12 (in Chinese) [郭水霞, 王一夫, 陈 安 2007 计算机工程与应用 43 12]
[24] Zheng Y, Cheng W M, Cheng Y 2011 Mech. Sci. Technol. 30 52 (in Chinese) [郑严, 程文明, 程 跃 2011 机械科学与技术 30 52]
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