Intelligent Model of Integrated Technological System for Ore Waste Processing

The work proposes a digital intelligent model of a complex technological system for processing ore waste, consisting of two technological lines. The model is based on the use of two deep recurrent neural networks, each of which serves as a digital copy of the corresponding line that is part of the system. The results of a simulation experiment are presented, which showed the high accuracy of the forecast generated by the intelligent model for variables characterizing the technological process of ore waste processing.