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Updated: May 10, 2025

Quantitative Analysis of Vacuum Induction Melting by Laser-induced Breakdown Spectroscopy
03:49

Quantitative Analysis of Vacuum Induction Melting by Laser-induced Breakdown Spectroscopy

Published on: June 10, 2019

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机器学习技术用于使用激光诱导分解光谱进行地化学分析

Shamaila Akbar1,2, M Inzmam Razzaq1, Nasar Ahmed1

  • 1Department of Physics, King Abdullah Campus, The University of AJ&K, Muzaffarabad.

Applied spectroscopy
|April 22, 2025
PubMed
概括

机器学习与激光诱导分解光谱学 (LIBS) 结合,可以有效地分类多元素岩石样本. 选择最佳排放线和PCA-SVM等先进算法可以提高分类的准确性和可靠性.

关键词:
这是一个ANOVA.在LIBS中,LIBS是指LIBS.激光诱导的分解光谱学在PCA中,PCA是PCA.在SVM中,SVM是SVM.分析差异的分析.地质化学分析地质化学分析机器学习技术 机器学习技术主要组件分析的主要组件分析标准的正常的正常的变化.

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