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

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,^a L. B. Guo,*^a Z. Q. Hao,^a Y. Tang,^a S. X. Ma,^a Q. D. Zeng,^ab S. S. Tang,^a X. Y. Li,^a Y. F. Lu^c and X. Y. Zeng^a

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* Corresponding authors

^a Wuhan National Laboratory for Optoelectronics (WNLO), Huazhong University of Science and Technology, Wuhan, Hubei 430074, P. R. China
E-mail: lbguo@hust.edu.cn
Fax: +86-27-87541423
Tel: +86-27-87541423

^b School of Physics and Electronic-information Engineering, Hubei Engineering University, Xiaogan, Hubei 432000, P. R. China

^c Department of Electrical and Computer Engineering, University of Nebraska, Lincoln, NE, USA

Abstract

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.

Journal of Analytical Atomic Spectrometry

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

Abstract

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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

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