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Proceedings Paper

Laser induced breakdown spectroscopy algorithm using weights iteration artificial neural network
Author(s): Xiaohong Ma; Zeke Zheng; Huafeng Zhao; Min Zhang; Yanbiao Liao
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Paper Abstract

Laser-induced breakdown spectroscopy (LIBS) was applied to quantitative analysis of heavy metal pollution elements in soil. The artificial neural network (ANN) algorithm is used to the processing of the complicated spectrum lines of soil. In this paper we developed a new algorithm using weight iteration in the artificial neural network, so as to decrease the training epochs remarkably. The spectrum line intensity of some elements, such as Cu, Cd, Al, Fe and Si, were obtained. The limits of detection for trace elements Cu and Cd in soil were determined to be 42 and 5ppm, respectively.

Paper Details

Date Published: 17 May 2011
PDF: 4 pages
Proc. SPIE 7753, 21st International Conference on Optical Fiber Sensors, 77532K (17 May 2011); doi: 10.1117/12.886034
Show Author Affiliations
Xiaohong Ma, Tsinghua Univ. (China)
Zeke Zheng, Tsinghua Univ. (China)
Huafeng Zhao, Tsinghua Univ. (China)
Min Zhang, Tsinghua Univ. (China)
Yanbiao Liao, Tsinghua Univ. (China)


Published in SPIE Proceedings Vol. 7753:
21st International Conference on Optical Fiber Sensors
Jacques Albert; Wojtek J. Bock, Editor(s)

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