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在直流电弧炉炼钢过程控制系统中，由于它的复杂机理，高度非线性加大了建模的难度．为提供适用于直流电弧炉炼钢过程优化控制的模型，提出一种引人遗传算法的神经网络建模方法，并将其用于某厂直流电弧炉炼钢过程模型的建立，获得了很好的效果．同时给出了基于现场实测数据的仿真结果．
In the DC arc furnace steelmaking process control system, due to its complex mechanism, the high degree of nonlinearity increases the difficulty of modeling. In order to provide a model suitable for optimal control of DC EAF steel making process, a neural network modeling method based on genetic algorithm was proposed and used to establish a DC steelmaking process model in a certain plant. Effect. At the same time, the simulation results based on field measured data are given.