Classification of Geological Samples with Laser-Induced Breakdown Spectroscopy Based on Self-Organizing Feature Map Network and Correlation Discrimination Analysis

YAN Meng-ge; DONG Xiao-zhou; LI Ying; ZHANG Ying; BI Yun-feng

doi:10.3964/j.issn.1000-0593(2018)06-1874-06

Spectroscopy and Spectral Analysis, Volume. 38, Issue 6, 1874(2018)

Classification of Geological Samples with Laser-Induced Breakdown Spectroscopy Based on Self-Organizing Feature Map Network and Correlation Discrimination Analysis

YAN Meng-ge^1,2、*, DONG Xiao-zhou^1,2, LI Ying³, ZHANG Ying³, and BI Yun-feng^1,2

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¹[in Chinese]

²[in Chinese]

³[in Chinese]

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YAN Meng-ge, DONG Xiao-zhou, LI Ying, ZHANG Ying, BI Yun-feng. Classification of Geological Samples with Laser-Induced Breakdown Spectroscopy Based on Self-Organizing Feature Map Network and Correlation Discrimination Analysis[J]. Spectroscopy and Spectral Analysis, 2018, 38(6): 1874

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Paper Information

Received: Nov. 6, 2017

Accepted: --

Published Online: Jun. 29, 2018

The Author Email: Meng-ge YAN (mengge_94@163.com)

DOI:10.3964/j.issn.1000-0593(2018)06-1874-06

Topics

laser devices and laser physics

Lasers and Laser Optics

Laser physics

laser manufacturing

Instrumentation, Measurement and Metrology