Particle Swarm Optimization (PSO) for improving the accuracy of ChemCam LIBS sub-model quantitative method
Author:
Funder
China National Space Administration
National Natural Science Foundation
Publisher
Springer Science and Business Media LLC
Subject
General Earth and Planetary Sciences
Link
https://link.springer.com/content/pdf/10.1007/s12145-020-00497-y.pdf
Reference32 articles.
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3. Bolger JA (2000) Semi-quantitative laser-induced breakdown spectroscopy for analysis of mineral drill core. Appl Spectrosc 54:181–189
4. Boucher TF, Ozanne MV, Carmosino ML, Dyar MD, Mahadevan S, Breves EA, Lepore KH, Clegg SM (2015) A study of machine learning regression methods for major elemental analysis of rocks using laser-induced breakdown spectroscopy. Spectrochim Acta B At Spectrosc 107:1–10
5. Clegg SM, Sklute E, Dyar MD, Barefield JE, Wiens RC (2009) Multivariate analysis of remote laser-induced breakdown spectroscopy spectra using partial least squares, principal component analysis, and related techniques. Spectrochim Acta B At Spectrosc 64:79–88
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