Concepedia

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

Yu Ding, Fei Yan, Guang Yang, Haixiu Chen, Zhensheng Song

Analytical Methods · 2018 · 35 citations · 28 references

DOI

Concepts

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.

References

28

Extreme learning machine: Theory and applications

Guang-Bin Huang, Qinyu Zhu, Chee‐Kheong Siew · Neurocomputing · 2006 · 13.2K citations

, , +9

A Study of Cross-Validation and Bootstrap for Accuracy Estimation and Model Selection

Ron Kohavi · 1995 · 10.7K citations · Full text

, , +13

Extreme Learning Machine for Regression and Multiclass Classification

Guang-Bin Huang, Hongming Zhou, Xiaojian Ding et al. · IEEE Transactions on Systems Man and Cybernetics Part B (Cybernetics) · 2011 · 5.5K citations

, , +15

Standard Normal Variate Transformation and De-Trending of Near-Infrared Diffuse Reflectance Spectra

Richard Barnes, M.S. Dhanoa, S.J. Lister · Applied Spectroscopy · 1989 · 3.7K citations

, , +16

Laser-Induced Breakdown Spectroscopy (LIBS), Part II: Review of Instrumental and Methodological Approaches to Material Analysis and Applications to Different Fields

David W. Hahn, N. Omenetto · Applied Spectroscopy · 2012 · 1.5K citations

, , +17