This study considers the application of machine learning methods to estimate the filtration characteristics of ore-bearing rocks at the uranium mining. The method is based on the use of nonlinear regression models and has shown results 22%–70% better than calculations using the existing methodology.
https://www.mdpi.com/2076-3417/13/19/10958