【摘要】 根据炼钢转炉的实际采集数据，利用１种新型模糊神经网络（ＦＮＮ），对其进行了静态建模。从理论上论证了该ＦＮＮ的推理及非线性逼近能力。用新建模型对钢水终点温度，终点含碳量进行计算，其结果与相应的实测值基本一致。更多还原

【Abstract】 The static state model of steelmaking furnace is made based on the reality data gathered with the kind of Fuzzy Neural Network. The objective temperature of steel and W[C] in steel were calculated by the new model. The results accord with those of measured in the experiment更多还原