Quantative elemental analysis using laser induced breakdown spectroscopy and neuro-genetic approach

Zhongguo Jiguang/Chinese Journal of Lasers

Volumn 38, Issue 3, 2011, Pages

  Shen, Qinmei ^a   Zhou, Weidong ^a   Li, Kexue ^a  

^a ZHEJIANG NORMAL UNIVERSITY   (China)

Author keywords

Laser induced breakdown spectroscopy; Neuro genetic; Quantitative determination; Spectroscopy

Indexed keywords

ANALYTICAL RESULTS; ARTIFICIAL NEURAL NETWORK; CALIBRATION METHOD; CALIBRATION MODEL; CORRELATION COEFFICIENT; ELEMENTAL ANALYSIS; HIGH PRECISION; MEAN RELATIVE ERROR; NEURO-GENETIC; QUANTITATIVE ANALYSIS; QUANTITATIVE DETERMINATIONS; QUANTITATIVE ELEMENTAL ANALYSIS; SOIL SAMPLE; THREE-LAYER;

BACKPROPAGATION; BARIUM; CALIBRATION; NEURAL NETWORKS; SPECTROSCOPIC ANALYSIS;

SPECTRUM ANALYSIS;

EID: 79954507336     PISSN: 02587025     EISSN: None     Source Type: Journal    
DOI: 10.3788/CJL201138.0308044     Document Type: Article

References (16)

1. K. Song, Y. I. Lee, J. Sneddon et al.. Applications of laser-induced breakdown spectrometry [J]. Appl. Spectrosc. Rev., 1997, 32 (3): 182-183
2. F. C. DeLucia, A. C. Samuels, R. S. Harmon et al.. Laser-induced breakdown spectroscopy (LIBS): A promising versatile chemical sensor technology for hazardous material detection [J]. IEEE Sensors Journal, 2005, 5 (4): 681-689
3. Yao Shunchun, Lu Jidong, Pan Shenghua et al.. Analysis of unburned carbon in coal fly ash by using laser-induced breakdown spectroscopy in deep UV [J]. Chinese J. Lasers, 2010, 37 (4): 1114-1117
4. Weidong Zhou, Kexue Li, Qinmei Shen et al.. Optical emission enhancement using laser ablation combined with fast pulse discharge [J]. Opt. Express, 2010, 18 (3): 2573-2578
5. Xu Hongguang, Guan Shicheng, Fu Yuanxia et al.. Laser induced breakdown spectroscopy of the trace metal element Pb in soil [J]. Chinese J. Lasers, 2007, 34 (4): 577-581
6. M. A. Gondal, Z. S. Seddigi, M. M. Nasr et al.. Spectroscopic detection of health hazardous contaminants in lipstick using laser induced breakdown spectroscopy [J]. Journal of Hazardous Materials, 2010, 175 (1): 726-732
7. Li Jie, Lu Jidong, Lin Zhaoxiang et al.. Experimental analysis of spectra of metallic elements in solid samples by laser-induced breakdown spectroscopy [J]. Chinese J. Lasers, 2009, 36 (11): 2882-2887
8. Wang Jiasheng, Qiao Dongpo, Lu Yunzhang et al.. Quantitative analysis of laser-induced breakdown spectroscopy in rocks by using intensity normalization method [J]. Chinese J. Lasers, 2010, 37 (1): 225-230
9. Edilene C. Ferreira, Debora M. B. P. Milori, Ednaldo J. Ferreira et al.. Artificial neural networks for Cu quantitative determination in soil using a portable laser induced breakdown spectroscopy system [J]. Spectrochimica Acta Part B, 2008, 63 (10): 1216-1220
10. Prasanthi Inakollu, Thomas Philip, Awadhesh K. Rai et al.. A comparative study of laser induced breakdown spectroscopy analysis for element concentrations in aluminum alloy using artificial neuralnetworks and calibration methods [J]. Spectrochimica Acta Part B, 2009, 64 (1): 99-104
11. Sun Lanxiang, Yu Haibin, Cong Zhibo et al.. Quantitative analysis of Mn and Si of steels by laser-induced breakdown spectroscopy combined with neural networks [J]. Acta Optica Sinica, 2010, 30 (9): 2757-2765
12. Vincent Motto-Ros, Alexander S. Koujelev, Gordon R. Osinski et al.. Quantitative multi-elemental laser-induced breakdown spectroscopy using artificial neural networks [J]. Journal of the European Optical Society-Rapid Publications, 2008, 3: 08011-1-08011-5
13. Ajith Abraham. Meta learning evolutionary artificial neural networks [J]. Neurocomputing, 2004, 56: 1-38
14. Riccardo Leardi. Genetic algorithms in chemistry [J]. Journal of Chromatography A, 2007, 1158 (1-2): 226-233
15. Huang Jisong, Chen Qiaoling, Zhou Weidong. Laser induced breakdown spectroscopy for the determination of Cr and Sr in soil [J]. Spectroscopy and Spectral Analysis, 2009, 29 (11): 3126-3129
16. Seong Y. Oh, Fang Yu Yueh, Jagdish P. Singh. Quantitative analysis of tin alloy combined with artificial neural network prediction [J]. Appl. Opt., 2010, 49 (13): C36-C41