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

Y. M. Guo; L. B. Guo; Z. Q. Hao; Y. Tang; S. X. Ma; Q. D. Zeng; S. S. Tang; X. Y. Li; Y. F. Lu; X. Y. Zeng

doi:10.1039/D0JA90040K

This website uses cookies to give you the best user experience. If you continue without changing your settings we'll assume you are happy to receive all RSC cookies. You can change your cookie settings by navigating to our Privacy and Cookies page and following the instructions. These instructions are also obtainable from the privacy link at the bottom of any RSC page.

Lite Version|Standard version

Home > Journal of Analytical A... > Correction: Accuracy im...

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

Y. M. Guo, L. B. Guo, Z. Q. Hao, Y. Tang, S. X. Ma, Q. D. Zeng, S. S. Tang, X. Y. Li, Y. F. Lu and X. Y. Zeng
J. Anal. At. Spectrom., 2020,35, 1487-1487
DOI: 10.1039/D0JA90040K, Correction

Open Access Learn more..

This article is licensed under a Creative Commons Attribution 3.0 Unported Licence.

Download

PDF

Rich HTML

Abstract | Cited by

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.

Page: ^ Top

Terms & Conditions | Privacy and Cookies