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Correction: Accuracy improvement of iron ore analysis using laser-induced breakdown spectroscopy with a hybrid sparse partial least squares and least-squares support vector machine model
Journal of Analytical Atomic Spectrometry ( IF 3.4 ) Pub Date : 2020-06-11 , DOI: 10.1039/d0ja90040k
Y. M. Guo 1, 2, 3, 4 , L. B. Guo 1, 2, 3, 4 , Z. Q. Hao 1, 2, 3, 4 , Y. Tang 1, 2, 3, 4 , S. X. Ma 1, 2, 3, 4 , Q. D. Zeng 1, 2, 3, 4, 5 , S. S. Tang 1, 2, 3, 4 , X. Y. Li 1, 2, 3, 4 , Y. F. Lu 6, 7, 8, 9 , X. Y. Zeng 1, 2, 3, 4
Affiliation  

Correction for ‘Accuracy improvement of iron ore analysis using laser-induced breakdown spectroscopy with a hybrid sparse partial least squares and least-squares support vector machine model’ by Y. M. Guo et al., J. Anal. At. Spectrom., 2018, 33, 1330–1335, DOI: 10.1039/C8JA00119G.

中文翻译:

更正:使用稀疏偏最小二乘和最小二乘支持向量机模型的激光诱导击穿光谱法提高铁矿石分析的准确性

YM Guo等人对“使用稀疏偏最小二乘和最小二乘支持向量机模型的激光诱导击穿光谱法提高铁矿石分析精度”的修正J。肛门。在。光谱。,2018,33,1330年至1335年,DOI:10.1039 / C8JA00119G。
更新日期:2020-07-08
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