Interpreting neural networks trained to predict plasma temperature from optical emission spectra

J. Anal. At. Spectrom., 2024, Accepted Manuscript DOI: 10.1039/D3JA00363A, PaperE. Kepes, Homa Saeidfirozeh, vojtech Laitl, J. Vrabel, Petr Kubel ík, Pavel Pořízka, Martin Ferus, Jozef Kaiser We explore the application of artificial neural networks (ANNs) for predicting plasma temperatures in Laser-Induced Breakdown Spectroscopy (LIBS) analysis. Estimating plasma temperature from emission spectra is often challenging due to... The content of this RSS Feed (c) The Royal Society of Chemistry

Source: RSC - J. Anal. At. Spectrom. latest articles - March 12, 2024 Category: Chemistry Authors: E. Kepes Source Type: research