Open Access Article
This Open Access Article is licensed under a Creative Commons Attribution 3.0 Unported Licence
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
aWuhan 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
bSchool of Physics and Electronic-information Engineering, Hubei Engineering University, Xiaogan, Hubei 432000, P. R. China
cDepartment of Electrical and Computer Engineering, University of Nebraska, Lincoln, NE 68588-0511, USA
First published on 11th June 2020
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.
The authors regret an error in the affiliation of one of the authors, Y. F. Lu, in the original manuscript. The correct affiliation is: University of Nebraska–Lincoln (UNL) and not Wuhan National Laboratory for Optoelectronics (WNLO) at the Huazhong University of Science and Technology (HUST). The corrected list of authors and affiliations for this paper is as shown above.
The Royal Society of Chemistry apologises for these errors and any consequent inconvenience to authors and readers.
| This journal is © The Royal Society of Chemistry 2020 |