Classification of iron ore based on acidity and alkalinity by laser induced breakdown spectroscopy coupled with N-nearest neighbours (N3)
Author:
Affiliation:
1. Institute of Analytical Science
2. College of Chemistry & Material Science
3. Northwest University
4. Xi'an 710069
5. P. R. China
Abstract
LIBS technique coupled with N3 for classification and identification of four types of iron ore.
Funder
National Natural Science Foundation of China
Publisher
Royal Society of Chemistry (RSC)
Subject
General Engineering,General Chemical Engineering,Analytical Chemistry
Link
http://pubs.rsc.org/en/content/articlepdf/2016/AY/C6AY01396A
Reference34 articles.
1. Acidity measurement of iron ore powders using laser-induced breakdown spectroscopy with partial least squares regression
2. Routine analysis of iron ores by X-ray spectrometry
3. Silicon determination by inductively coupled plasma atomic emission spectrometry after generation of volatile silicon tetrafluoride
4. Incorporation of Support Vector Machines in the LIBS Toolbox for Sensitive and Robust Classification Amidst Unexpected Sample and System Variability
5. Laser-Induced Breakdown Spectroscopy for 24/7 Automatic Liquid Slag Analysis at a Steel Works
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