[1] Cremers D A, Chinni R C. Laser-induced breakdown spectroscopy—Capabilities and limitations[J]. Applied Spectroscopy Reviews, 44, 457-506(2009).
[2] Aberkane S M, Abdelhamid M, Mokdad F et al. Sorting zamak alloys via chemometric analysis of their LIBS spectra[J]. Analytical Methods, 9, 3696-3703(2017).
[3] Ruan F Q, Qi J, Yan C H et al. Quantitative detection of harmful elements in alloy steel by LIBS technique and sequential backward selection-random forest (SBS-RF)[J]. Journal of Analytical Atomic Spectrometry, 32, 2194-2199(2017).
[4] Wang Z, Yuan T B, Hou Z Y et al. Laser-induced breakdown spectroscopy in China[J]. Frontiers of Physics, 9, 419-438(2014).
[5] Ahmad K, Tawfik W, Farooq W A et al. Analysis of alumina-based titanium carbide composites by laser-induced breakdown spectroscopy[J]. Applied Physics A, 117, 1315-1322(2014).
[6] Yu Y L, Zhou W D, Su X J. Detection of Cu in solution with double pulse laser-induced breakdown spectroscopy[J]. Optics Communications, 333, 62-66(2014).
[7] Yuan T B, Wang Z, Li Z et al. A partial least squares and wavelet-transform hybrid model to analyze carbon content in coal using laser-induced breakdown spectroscopy[J]. Analytica Chimica Acta, 807, 29-35(2014).
[8] Han D, Joe Y J, Ryu J S et al. Application of laser-induced breakdown spectroscopy to Arctic sediments in the Chukchi Sea[J]. Spectrochimica Acta Part B: Atomic Spectroscopy, 146, 84-92(2018).
[9] Herrera K K, Tognoni E, Gornushkin I B et al. Comparative study of two standard-free approaches in laser-induced breakdown spectroscopy as applied to the quantitative analysis of aluminum alloy standards under vacuum conditions[J]. Journal of Analytical Atomic Spectrometry, 24, 426-438(2009).
[10] Zhang B H, Jiang Y C, Zhang X Y et al. Quantitative analysis of Mn in soil samples using LIBS[J]. Spectroscopy and Spectral Analysis, 35, 1715-1718(2015).
[11] Cama-Moncunill X, Markiewicz-Keszycka M, Cama-Moncunill R et al. Sampling effects on the quantification of sodium content in infant formula using laser-induced breakdown spectroscopy (LIBS)[J]. International Dairy Journal, 85, 49-55(2018).
[12] Zhu Z H, Li J M, Guo Y M et al. Accuracy improvement of boron by molecular emission with a genetic algorithm and partial least squares regression model in laser-induced breakdown spectroscopy[J]. Journal of Analytical Atomic Spectrometry, 33, 205-209(2018).
[13] Li X W, Wang Z, Lui S L et al. A partial least squares based spectrum normalization method for uncertainty reduction for laser-induced breakdown spectroscopy measurements[J]. Spectrochimica Acta Part B: Atomic Spectroscopy, 88, 180-185(2013).
[14] Takahashi T, Thornton B. Quantitative methods for compensation of matrix effects and self-absorption in laser induced breakdown spectroscopy signals of solids[J]. Spectrochimica Acta Part B: Atomic Spectroscopy, 138, 31-42(2017).
[15] Zhang T L, Liang L, Wang K et al. A novel approach for the quantitative analysis of multiple elements in steel based on laser-induced breakdown spectroscopy (LIBS) and random forest regression (RFR)[J]. Journal of Analytical Atomic Spectrometry, 29, 2323-2329(2014).
[16] Wu S, Zhang T L, Tang H S et al. Quantitative analysis of nonmetal elements in steel using laser-induced breakdown spectroscopy combined with random forest[J]. Analytical Methods, 7, 2425-2432(2015).
[17] Yan C H, Qi J, Ma J X et al. Determination of carbon and sulfur content in coal by laser induced breakdown spectroscopy combined with kernel-based extreme learning machine[J]. Chemometrics and Intelligent Laboratory Systems, 167, 226-231(2017).
[18] Yi C C, Lv Y, Xiao H et al. Laser induced breakdown spectroscopy for quantitative analysis based on low-rank matrix approximations[J]. Journal of Analytical Atomic Spectrometry, 32, 2164-2172(2017).
[19] Gu Y H, Zhao N J, Ma M J et al. Monitoring the heavy element of Cr in agricultural soils using a mobile laser-induced breakdown spectroscopy system with support vector machine[J]. Chinese Physics Letters, 33, 085201(2016).
[20] Yang J H, Yi C C, Xu J W et al. A laser induced breakdown spectroscopy quantitative analysis method based on the robust least squares support vector machine regression model[J]. Journal of Analytical Atomic Spectrometry, 30, 1541-1551(2015).
[21] Lin J J, Lin X M, Guo L B et al. Identification accuracy improvement for steel species using a least squares support vector machine and laser-induced breakdown spectroscopy[J]. Journal of Analytical Atomic Spectrometry, 33, 1545-1551(2018).
[22] Yang J H, Yi C C, Xu J W et al. Laser-induced breakdown spectroscopy quantitative analysis method via adaptive analytical line selection and relevance vector machine regression model[J]. Spectrochimica Acta Part B: Atomic Spectroscopy, 107, 45-55(2015).
[23] Tipping M E. Sparse Bayesian learning and the relevance vector machine[J]. Journal of Machine Learning Research, 1, 211-244(2001).
[24] Wipf D P, Rao B D. Sparse Bayesian learning for basis selection[J]. IEEE Transactions on Signal Processing, 52, 2153-2164(2004).
[25] Ji S H, Xue Y, Carin L. Bayesian compressive sensing[J]. IEEE Transactions on Signal Processing, 56, 2346-2356(2008).
[26] Shi Q, Niu G H, Lin Q Y et al. Quantitative analysis of sedimentary rocks using laser-induced breakdown spectroscopy: Comparison of support vector regression and partial least squares regression chemometric methods[J]. Journal of Analytical Atomic Spectrometry, 30, 2384-2393(2015).
[27] Yang H X, Fu H B, Wang H D et al. Laser-induced breakdown spectroscopy applied to the characterization of rock by support vector machine combined with principal component analysis[J]. Chinese Physics B, 25, 065201(2016).