Quantitative analysis modeling for the ChemCam spectral data based on laser-induced breakdown spectroscopy using convolutional neural network

Laser-induced breakdown spectroscopy (LIBS) has been applied to many fields for the quantitative analysis of diverse materials. Improving the prediction accuracy of LIBS regression models is still of great significance for the Mars exploration in the near future. In this study, we explored the quant...

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Veröffentlicht in:	Plasma science & technology 2020-11, Vol.22 (11), p.115502
Hauptverfasser:	CAO, Xueqiang, ZHANG, Li, WU, Zhongchen, LING, Zongcheng, LI, Jialun, GUO, Kaichen
Format:	Artikel
Sprache:	eng
Schlagworte:	activation function convolutional neural network laser-induced breakdown spectroscopy optimization method quantitative analysis
Online-Zugang:	Volltext
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