应用自适应模糊神经网络控制技术 ,建立了热带精轧机组动态设定系统 ,该系统根据前两个机架实测的轧制力和设定计算的轧制力间误差预测带钢可能出现的厚度偏差 ,根据模糊神经网络的预测结果修正后续机架的辊缝值 ,提高带钢头部厚度精度 .并以实际数据对系统进行了校验 ,取得了良好的效果 The adaptive fuzzy neural network control technology was used to establish the dynamic setting system of the hot strip finishing unit. The system predicts the possible thickness of the strip based on the measured rolling force of the first two stands and the set error of the rolling force Deviation, according to the prediction results of fuzzy neural network to correct the follow-up rack roll gap value and improve the strip thickness accuracy.And the actual data of the system was checked and achieved good results