This paper presents an inverse dynamic neural network AGC system, puts forward a network activation function suitable for control, and improves the training method of backpropagation (BP) applying to dynamic process control.

• 针对板带轧制过程厚度自动控制（AGC）问题，提出逆动态自适应神经网络AGC（VANN－AGC）系统，并给出适于过程控制的网络激励函数和改进的BP网络训练方法。