Correction: Accuracy improvement on quantitative analysis of the total iron content in branded iron ores by laser-induced breakdown spectroscopy combined with the double back propagation artificial neural network. Issue 11 (2nd March 2022)

Record Type:
Journal Article
Title:
Correction: Accuracy improvement on quantitative analysis of the total iron content in branded iron ores by laser-induced breakdown spectroscopy combined with the double back propagation artificial neural network. Issue 11 (2nd March 2022)
Main Title:
Correction: Accuracy improvement on quantitative analysis of the total iron content in branded iron ores by laser-induced breakdown spectroscopy combined with the double back propagation artificial neural network
Authors:
Su, Piao
Liu, Shu
Min, Hong
An, Yarui
Yan, Chenglin
Li, Chen
Abstract:
Abstract : Correction for 'Accuracy improvement on quantitative analysis of the total iron content in branded iron ores by laser-induced breakdown spectroscopy combined with the double back propagation artificial neural network' by Piao Su et al., Anal. Methods, 2022, 14, 427–437, DOI: ; 10.1039/D1AY01881G .
Is Part Of:
Analytical methods. Volume 14:Issue 11(2022)
Journal:
Analytical methods
Issue:
Volume 14:Issue 11(2022)
Issue Display:
Volume 14, Issue 11 (2022)
Year:
2022
Volume:
14
Issue:
11
Issue Sort Value:
2022-0014-0011-0000
Page Start:
1169
Page End:
1170
Publication Date:
2022-03-02
Subjects:
Chemistry, Analytic -- Periodicals
Analytical biochemistry -- Periodicals
Chemical laboratories -- Standards -- Periodicals
543.1905
Journal URLs:
http://pubs.rsc.org/en/Journals/JournalIssues/AY ↗
http://www.rsc.org/ ↗
DOI:
10.1039/d2ay90030k ↗
Languages:
English
ISSNs:
1759-9660
Deposit Type:
Legaldeposit
View Content:
Available online (eLD content is only available in our Reading Rooms) ↗
Physical Locations:
British Library DSC - 0897.103700
British Library DSC - BLDSS-3PM
British Library STI - ELD Digital store
Ingest File:
21199.xml