The prediction of AOD furnace's end point carbon content based on wavelet neural network

摘要

AOD furnace smelting low-carbon ferrochrome for the actual situation of the affected end AOD stove carbon content factor, the wavelet neural network prediction model of carbon content in the end, the actual production data using 200-stove model is trained,and the other furnace carbon content of 12 to predict the results, wavelet neural network based on end point carbon content prediction model has high accuracy, showing that its in metallurgy with the significant advantages and great potential.