Artificial Neural Network Evaluation of the Significance of Influence of Technological Parameters on the Chemical Refining of Gold

The effect of technological parameters on the chemical refining of gold is studied using an artificial neural network (ANN) in the Python programming language with the Keras library. The key factors affecting the technological process “Chemical Gold Refining” from the personnel side are determined. Data verification is performed using mathematical methods, and graphs illustrating neural network training results are constructed. The investigation results can be applied to automate the control of operational risks during the refining production process.