A laser-induced breakdown spectroscopy multi-component quantitative analytical method based on a deep convolutional neural network

Title
A laser-induced breakdown spectroscopy multi-component quantitative analytical method based on a deep convolutional neural network
Authors
Keywords
Laser-induced breakdown spectroscopy, Convolutional neural network, Deep learning, MarSCoDe, Multi-component quantitative analysis
Journal
SPECTROCHIMICA ACTA PART B-ATOMIC SPECTROSCOPY
Volume 169, Issue -, Pages 105850
Publisher
Elsevier BV
Online
2020-05-05
DOI
10.1016/j.sab.2020.105850

Ask authors/readers for more resources

Reprint

Contact the author

Publish scientific posters with Peeref

Peeref publishes scientific posters from all research disciplines. Our Diamond Open Access policy means free access to content and no publication fees for authors.

Learn More

Ask a Question. Answer a Question.

Quickly pose questions to the entire community. Debate answers and get clarity on the most important issues facing researchers.

Get Started