Convolutional neural network as a novel classification approach for laser-induced breakdown spectroscopy applications in lithological recognition-Reference-Cited by-同舟云学术

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Convolutional neural network as a novel classification approach for laser-induced breakdown spectroscopy applications in lithological recognition

Published:2020-04 Issue: Volume:166 Page:105801
ISSN:0584-8547
Container-title:Spectrochimica Acta Part B: Atomic Spectroscopy
language:en
Short-container-title:Spectrochimica Acta Part B: Atomic Spectroscopy

Author:

Chen Junxi,Pisonero Jorge,Chen Sha,Wang Xu,Fan Qingwen,Duan Yixiang

Funder

National Major Scientific Instruments and Equipment Development Special Funds

Publisher

Elsevier BV

Subject

Spectroscopy,Instrumentation,Atomic and Molecular Physics, and Optics,Analytical Chemistry

Reference36 articles.

1. Multi-elemental surface mapping and analysis of carbonaceous shale by laser-induced breakdown spectroscopy;Xu;Spectrochim. Acta Part B Atomic Spectrosc.,2016

2. Laser Induced Breakdown Spectroscopy;Pallechi,2006

3. Laser-Induced Breakdown Spectroscopy;Noll,2012

4. Laser-induced breakdown spectroscopy (LIBS), Part I: Review of Basic Diagnostics and Plasma–Particle Interactions: Still-Challenging Issues Within the Analytical Plasma Community;Hahn;Appl. Spectrosc.,2010

5. Determination of heavy metals in soils by laser induced breakdown spectroscopy;Capitelli;Geoderma,2002

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