PhD candidate Adam Bernicky published his work on the spectroscopic analysis of flame emission spectra of copper concentrate feedstocks in Canadian Metallurgical Quarterly. The paper addresses a difficult problem in metallurgical processing: how can crushed ores that are highly heterogeneous and constantly varying in composition be analysed in real time to optimize the operation of a copper smelter. The solution involves machine learning and a fiber probe… click here and learn more
Adam Bernicky co-authors article on neural network analysis of flame emission spectra
Neural Network Analysis