Neural-Network Model for Predicting the Yield of Coking Products

Mathematical analysis of experimental data regarding the quality of coal and coal concentrates and the yield of coking products provides the basis for neural-network models capable of predicting product yields. Such predictions will ultimately be used to optimize coking batches in production conditions.