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In this paper, the forecasting method for the furnace bottom temperature and carbon content in smelting process is proposed to aim at the shortcomings of great energy and low productivity from control strategy, through the analysis of submerged arc furnace smelting process. The method provides a theoretical basis for dynamical control of submerged arc furnace smelting process. The forecasting model...
Coal is one of the most important main energy-consuming resources in our society. It is important to forecast the coal requirement with high accuracy. BP neural network forecasting model has the typical of self-learning and self-adaptation. It is often used in these systems that are difficult to create accurate mathematical model. The factors such as the trend of the industrial coal, the rate of increased...
Biological denitrification is a simple and cost effective method to treat groundwater contaminated by nitrate. However, this process is non-linear, complex and multivariable. In order to tackle the problem to remove nitrate from polluted groundwater, based on artificial neural network (ANN) technique and GUI(graphical user interfaces) function of MATLAB, a groundwater denitrification process forecasting...
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