Quantitative analysis of sinters using laser-induced breakdown spectroscopy (LIBS) coupled with kernel-based extreme learning machine (K-ELM)-Reference-Cited by-同舟云学术

Quantitative analysis of sinters using laser-induced breakdown spectroscopy (LIBS) coupled with kernel-based extreme learning machine (K-ELM)

Published:2018 Issue:9 Volume:10 Page:1074-1079
ISSN:1759-9660
Container-title:Analytical Methods
language:en
Short-container-title:Anal. Methods

Author:

Ding Yu¹²³⁴^ORCID,Yan Fei¹²³⁴,Yang Guang⁵⁶⁷⁴^ORCID,Chen Haixiu¹²³⁴,Song Zhensheng¹²³⁴

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

Reference33 articles.

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4. Silicon determination by inductively coupled plasma atomic emission spectrometry after generation of volatile silicon tetrafluoride

5. Acid leaching and dissolution of major sulphide ore minerals: processes and galvanic effects in complex systems

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