研究了一种基于特征变量的复杂生产过程预测模型。
A feature variables based predicting model for complex production process was presented.
针对动态系统过程预测预报问题，提出了一种基于过程神经元网络的动态预测方法。
A dynamic prediction method based on process neural networks is proposed for the process forecasting and prediction problem of dynamic system.
此模型为氯乙烯悬浮聚合过程的动态特性分析、过程预测控制和优化提供了基础条件。
The model provides the basis for dynamic behavior analysis, process predictive control and optimization of VCM suspension polymerization.
应用推荐