[1] 修俊山, 侯华明, 郑荣儿 等. 以滤纸为基质利用LIBS定量分析水溶液中铅元素［J］. 中国激光, 2011, 38(8): 0815003

    Xiu Junshan, Hou Huaming ,Zheng Ronger et al.. Quantitative determination of heavy metal element Pb in aqueous solutions by laser-induced breakdown spectroscopy using paper slice substrates ［J］. Chinese J. Lasers, 2011, 38(8): 0815003

[2] 董美蓉, 陆继东, 姚顺春 等. 基于多元定标法的煤粉碳元素LIBS定量分析［J］. 工程热物理学报, 2012, 33(1): 175～179

    Dong Meirong, Lu Jidong, Yao Shunchun et al.. Quantitative analysis of carbon content in coal with multivariate calibration by LIBS ［J］. J. Engineering Thermophysics, 2012, 33(1): 175～179

[3] Zhe Wang, Jie Feng, Lizhi Li et al.. A multivariate model based on dominant factor for laser-induced breakdown spectroscopy measurements ［J］. J. Anal. At. Spectrom., 2011. 26(11): 2289～2299

[4] Zhe Wang, Jie Feng, Lizhi Li et al.. A non-linearized PLS model based on multivariate dominant factor for laser-induced breakdown spectroscopy measurements ［J］. J. Anal. At. Spectrom., 2011. 26(11): 2175～2182

[5] 沈沁梅, 周卫东, 李科学 等. 激光诱导击穿光谱结合神经网络测定土壤中的Cr和Ba［J］. 光子学报, 2010, 39(12): 2134～2138

    Shen Qinmei, Zhou Weidong, Li Kexue et al.. Determination of Cr and Ba in soil using laser induced breakdown spectroscopy with artificial neural networks ［J］. Acta Photonica Sinica, 2010, 39(12): 2134～2138

[6] 杜振辉, 孟繁莉, 李金义 等. 激光诱导击穿光谱定量分析中的分析线自动选择方法［J］. 光谱学与光谱分析, 2012, 32(4): 876～880

    Du Zhenhui, Meng Fanli, Li Jinyi et al.. Research on the analytical line auto-selection for quantitative analysis of materials with laser-induced breakdown spectroscopy ［J］. Spectroscopy and Spectral Analysis, 2012, 32(4): 876～880

[7] 徐红敏, 王海英, 梁瑾 等. 支持向量机回归算法及其应用［J］. 北京石油化工学院学报, 2010, 18(1): 62～66

    Xu Hongmin, Wang Haiying, Liang Jin et al.. Support vector machine regression algorithm and its application ［J］. J. Beijing Institute of Petro-Chemical Technology, 2010, 18(1): 62～66

[8] 陈果, 周伽. 小样本数据的支持向量机回归模型参数及预测区间研究［J］. 计量学报, 2008, 29(1): 92～96

    Chen Guo, Zhou Jia. Research on parameters and forecasting interval of support vector regression model to small sample ［J］. Acta Metrologica Sinica, 2008, 29(1): 92～96

[9] 刘小飞, 王建东. 融合先验知识的支持向量机回归方法［J］. 信息化研究, 2011, 37(1): 46～48

    Liu Xiaofei, Wang Jiandong. Incorporation of prior knowledge with the support vector machine regression［J］. Informatization Research, 2011, 37(1): 46～48

[10] 张相胜, 王蕾, 潘丰. 多尺度最小二乘小波支持向量机的回归建模［J］. 计算机工程, 2012, 38(10): 175～181

    Zhang Xiangsheng, Wang Lei, Pan Feng. Regression modeling of multi-scale least square wavelet support vector machine［J］. Computer Engineering, 2012, 38(10): 175～181

[11] 侯振雨, 姚树文, 谷永庆 等. 独立成分分析支持向量机回归模型及其在近红外光谱分析中的应用［J］. 河南师范大学学报(自然科学版), 2006, 34(2): 75～78

    Hou Zhenyu, Yao Shuwen, Gu Yongqing et al.. Independent component analysis-support vector regression and its application in near infrared spectral analysis［J］. J. Henan Normal University (Natural Science), 2006, 34(2): 75～78

[12] 张翔, 刘晓敏, 肖小玲 等. 基于支持向量机回归的去噪方法及其应用［J］. 工程地球物理学报, 2005, 2(3): 191～194

    Zhang Xiang, Liu Xiaomin, Xiao Xiaoling et al.. Application of noise elimination based on support vector machine regression ［J］. Chinese J. Engineering Geophysics, 2005, 2(3): 191～194

[13] 郭水霞, 王一夫, 陈安. 基于支持向量机回归模型的海量数据预测［J］. 计算机工程与应用, 2007, 43(5): 12～14

    Guo Shuixia, Wang Yifu, Chen An. Prediction on huge database on the regression model of support vector machine [J]. Computer Engineering and Applications, 2007, 43(5): 12～14

[14] 郑严, 程文明, 程跃. 基于支持向量机回归的结构可靠性分析［J］. 机械科学与技术, 2011, 30(1): 52～56

    Zheng Yan, Cheng Wenming, Cheng Yue. Structural reliability analysis based on support vector regression［J］. Mechanical Science and Technology for Aerospace Engineering, 2011, 30(1): 52～56

[15] 赵芳, 张谦, 熊威 等. 水中痕量重金属激光诱导击穿光谱高灵敏检测［J］. 环境科学与技术, 2010, 33(3): 137～140

    Zhao Fang, Zhang Qian, Xiong Wei et al.. High sensitive detection of trace heavy metals in water by laser-induced breakdown spectroscopy ［J］. Environmental Science & Technology, 2010, 33(3): 137～140