A process experimental platform is designed and developed for complex process industrial modeling and control.
为方便对复杂工业过程的建模与控制研究，开发了过程实验平台。
Considering the complexity and the time variability of industrial process, an adaptive Supervised Distributed Neural Networks (SDNN) is proposed for modeling of industrial process.
针对工业生产过程的复杂性和时变性，提出一种用于工业生产过程建模的自适应监督式分布神经网络(SDNN)。
A modeling and identification platform for industrial process is introduced, including its design and implementation.
提出了一种面向工业过程的可视化建模辨识平台的设计和实现方法。
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