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本文研究基于生产过程输入输出数据建立系统的神经网络模型问题，训练好的神经网络可作为预测模型，实现非线性系统的预测控制；这对一大类过程控制系统的建模与控制具有启发意义。
This paper studies the neural network model based on the input and output data of the production process. The trained neural network can be used as a predictive model to realize the predictive control of nonlinear systems. This is instructive for the modeling and control of a large class of process control systems .