January 1, 2018Journal of Analytical Atomic Spectrometry

Accuracy improvement of iron ore analysis using laser-induced breakdown spectroscopy with a hybrid sparse partial least squares and least-squares support vector machine model

View Full Paper

Ask AI

Bookmark

Abstract

A hybrid sparse partial least squares and least-squares support vector machine model was proposed to improve the accuracy of iron ore analysis using LIBS.

Discussion

No takes yet. Share an insight, caveat, or question.

Cite This Study

Guo et al. (2018) studied this question.

synapsesocial.com/papers/6a7d000858b935a3e446c7d4 https://doi.org/10.1039/c8ja00119g

View Full Paper

Ask AI

Bookmark

Abstract

A hybrid sparse partial least squares and least-squares support vector machine model was proposed to improve the accuracy of iron ore analysis using LIBS.

Accuracy improvement of iron ore analysis using laser-induced breakdown spectroscopy with a hybrid sparse partial least squares and least-squares support vector machine model

Abstract

Discussion

Cite This Study

Accuracy improvement of iron ore analysis using laser-induced breakdown spectroscopy with a hybrid sparse partial least squares and least-squares support vector machine model

Abstract

Discussion

Cite This Study

Keep reading

Keep reading