传统建模方法在实际大规模复杂工业系统应用中受到限制，人工智能在一定程度上克服了这个问题。
Traditional modeling technologies are restricted in applications of actual large-scale complex industrial systems. To some extent, artificial intelligence overcomes the problem.
针对复杂工业过程控制系统的特点，提出一种专家系统和模糊神经网络相结合的二级协调智能控制系统。
By integrating expert system with fuzzy neural network, a new type of two-level coordination intelligent control system used in complex industrial processes is proposed in this paper.
本文讨论复杂工业过程控制系统中操作变量与量测变量的选择问题。
In this paper, the problem of selection of manipulated variables and measurement variables for complex industrial process is discussed.
对非线性系统的任意逼近性是模糊逻辑系统能够用来辨识复杂工业过程、给出合理控制的理论依据。
That discretional close in upon nonlinear system is the theoretic gist of fuzzy logic system to identify process of complicated industry and educe reasonable control.
对非线性系统的任意逼近性是模糊逻辑系统能够用来辨识复杂工业过程、给出合理控制的理论依据。
That discretional close in upon nonlinear system is the theoretic gist of fuzzy logic system to identify process of complicated industry and educe reasonable control.
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