Using an Artificial Neural Network to Simulate the Complete Burnout of Mechanoactivated Coal

Аннотация

An experimental study of the effect of pulverization on the thermal destruction of coal is carried out. Artificial neural networks are used to develop a model that allows predicting the degree of burnout of pulverized coals with high accuracy (an average relative error of 3% and a determination coefficient of 96%).