运用人工智能专家系统的原理和构造方法,采用VB语言创建重力坝坝基岩体分级专家系统。
The principles and construction of artificial intelligence expert system are applied to establish, with VB language, a rock classification expert system for concrete gravity dam foundation.
以模糊控制、专家系统、自寻优理论和分级解耦理论为基础,针对各被控过程不同的具体要求,分别提出基于不同控制理论的控制策略。
A new control strategy and method based on fuzzy control, expert system, self optimization and individual decoupling theory for tube mill control has been used.
同时,对缺陷的自动分类方法、神经网络分类器和用于对带钢质量进行自动分级的专家系统做了简要介绍。
At the same time, the automatic classification method to the defects, the nerve net classified units, and the experts system to classifying the surface quality were reviewed.
应用推荐