Quantitative analysis of Ni, Zr and Ba in soil by combing neuro-genetic approach and laser induced breakdown spectroscopy

Qinmei Shen; Weidong Zhou; Kexue Li

doi:10.1117/12.873406

15 November 2010 Quantitative analysis of Ni, Zr and Ba in soil by combing neuro-genetic approach and laser induced breakdown spectroscopy

Qinmei Shen, Weidong Zhou, Kexue Li

Author Affiliations +

Proceedings Volume 7854, Infrared, Millimeter Wave, and Terahertz Technologies; 78543Q (2010) https://doi.org/10.1117/12.873406
Event: Photonics Asia 2010, 2010, Beijing, China

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.

Citation Download Citation

Qinmei Shen, Weidong Zhou, and Kexue Li "Quantitative analysis of Ni, Zr and Ba in soil by combing neuro-genetic approach and laser induced breakdown spectroscopy", Proc. SPIE 7854, Infrared, Millimeter Wave, and Terahertz Technologies, 78543Q (15 November 2010); https://doi.org/10.1117/12.873406

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