ARTIFICIAL NEURAL NETWORK USED IN THE MATERIAL AND MASS BALANCE IN THE REDUCTION ZONE DURING HCFMN II

Simple material and mass balance were efficiently drawn in high carbon ferromanganese production processes based on simple calculations. However the prediction on different products in different reactive zones using a mathematical model using artificial intelligence nueral network has not been well conducted. The current project has investigated means to use AI to predict products. The establishement of a mathematical model to predict each product in each zone is not a trivial exercise. To ease the prediction of every product quantitatively, MATLAB was used as an efficient tool to generate the mathematical programming model for each product. Theoretical assumptions were used to generate the mathematical programming model which was developed per reactive zone.