Quantitative Analysis of Carbon Content in Fly Ash Using LIBS Based on Support Vector Machine Regression

Peng Chen; Chao Qi; Renwei Liu; Zhenzhen Wang; Han Luo; Junjie Yan; Jiping Liu; Yoshihiro Deguchi

doi:10.3788/AOS202242.0930003

Acta Optica Sinica, Volume. 42, Issue 9, 0930003(2022)

Quantitative Analysis of Carbon Content in Fly Ash Using LIBS Based on Support Vector Machine Regression

Peng Chen¹, Chao Qi², Renwei Liu¹, Zhenzhen Wang^1,3、*, Han Luo¹, Junjie Yan^1,3, Jiping Liu¹, and Yoshihiro Deguchi^1,3

Author Affiliations

¹School of Energy and Power Engineering, Xi′an Jiaotong University, Xi′an 710049, Shaanxi, China

²Xi′an Aerospace Propulsion Institute, Xi′an 710100, Shaanxi, China

³Graduate School of Technology, Industrial and Social Sciences, Tokushima University, Tokushima 770- 8506, Japan

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Peng Chen, Chao Qi, Renwei Liu, Zhenzhen Wang, Han Luo, Junjie Yan, Jiping Liu, Yoshihiro Deguchi. Quantitative Analysis of Carbon Content in Fly Ash Using LIBS Based on Support Vector Machine Regression[J]. Acta Optica Sinica, 2022, 42(9): 0930003

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Paper Information

Category: Spectroscopy

Received: Sep. 14, 2021

Accepted: Nov. 25, 2021

Published Online: May. 6, 2022

The Author Email: Wang Zhenzhen (zhenzhen?wang@xjtu.edu.cn)

DOI:10.3788/AOS202242.0930003

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