Quantitative analysis of sinters using laser-induced breakdown spectroscopy (LIBS) coupled with kernel-based extreme learning machine (K-ELM)
Author:
Affiliation:
1. School of Information and Control
2. Nanjing University of Information Science and Technology
3. Nanjing
4. China
5. College of Instrumentation & Electrical Engineering
6. Jilin University
7. Changchun
Abstract
This work explores the combination of LIBS technology and K-ELM algorithm for the quantitative analysis of total iron (TFe) content and alkalinity of sinter.
Funder
National Natural Science Foundation of China
NUIST
Publisher
Royal Society of Chemistry (RSC)
Subject
General Engineering,General Chemical Engineering,Analytical Chemistry
Link
http://pubs.rsc.org/en/content/articlepdf/2018/AY/C7AY02748F
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