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Proceedings Paper

Quantitative analysis of Ni, Zr and Ba in soil by combing neuro-genetic approach and laser induced breakdown spectroscopy
Author(s): Qinmei Shen; Weidong Zhou; Kexue Li
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Paper Abstract

With the combination of neuro-genetic approach and laser-induced breakdown spectroscopy (LIBS), an improved method is proposed to predict the concentrations of Ni, Zr and Ba in soil samples. In this method, an artificial neural network (ANN) based on gradient descent with momentum and adaptive learning rate back propagation (GDMABP) algorithm is used. Simultaneously, an optimization strategy based on genetic algorithm (GA) is employed for selecting number of neurons in hidden layer and momentum coefficient in GDMABP ANN and to obtain an optimized network. Subsequently, the network is used to predict concentration of Ni, Zr and Ba from the tested LIBS data. The approach of neuro-genetic for LIBS analysis is described in detail. The predicted results are compared with those obtained from conventional calibration curve method. Overall, the method of combining neuro-genetic approach with LIBS is capable of predicting elemental concentration.

Paper Details

Date Published: 15 November 2010
PDF: 8 pages
Proc. SPIE 7854, Infrared, Millimeter Wave, and Terahertz Technologies, 78543Q (15 November 2010); doi: 10.1117/12.873406
Show Author Affiliations
Qinmei Shen, Zhejiang Normal Univ. (China)
Weidong Zhou, Zhejiang Normal Univ. (China)
Kexue Li, Zhejiang Normal Univ. (China)

Published in SPIE Proceedings Vol. 7854:
Infrared, Millimeter Wave, and Terahertz Technologies
Cunlin Zhang; Xi-Cheng Zhang; Peter H. Siegel; Li He; Sheng-Cai Shi, Editor(s)

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