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结合统计回归与神经网络的优点，使用基于神经网络的非线性部分最小二乘回归法，建立了醋酸乙烯生产装置催化剂活性的非参数模型，模型的精度高且计算量较小。实际应用证明了方法的有效性。
Combined with the advantages of statistical regression and neural network, a nonparametric model of catalyst activity in vinyl acetate production plant was established by using nonlinear partial least squares regression method based on neural network. The model has high precision and low computational cost. The practical application proves the effectiveness of the method.