论文部分内容阅读
将神经网络建模方法用于板形自动控制,研究并建立了基于神经网络的板形控制数学模型。经用北京科技大学高效轧制国家工程研究中心双机架可逆冷轧机实测数据仿真验证,表明该模型具有很高的控制精度。
The neural network modeling method is applied to automatic control of plate shape, and a mathematical model of plate shape control based on neural network is established. The simulation results show that the model has high control precision by using the double-stand reversing cold rolling mill of National Engineering Research Center of Beijing University of Science and Technology.