This paper proposes an adaptive expert system model to overcome this shortcoming.
针对这种不足，提出了一个自适应专家系统模型。
Combining fuzzy control with expert system, author presents an expert adaptive fuzzy controller and its application for a 500mw power plant boiler water level control.
本文将模糊控制与专家系统结合起来，提出了专家自适应模糊控制器，并将其应用于500MW机组仿真机锅炉水位控制中。
To research on the application of computer-aided diagnosis expert system based on machine adaptive learning.
对基于自学习功能的计算机辅助医学诊断专家系统的应用进行研究。
We study expert PID control, fuzzy adaptive PID control, RBF neural network PID control, internal control based on RBF neural networks.
研究了专家PID控制、模糊自适应PID控制、基于RBF神经网络整定的PID控制、基于RBF神经网络的内模控制。
This adaptive fuzzy controller is based on fuzzy inference rules self-learning without needing so much expert control rules, which solves the problem of acquiring MIMO fuzzy inference rules.
这种自适应模糊控制器基于模糊推理规则自学习和自调整的控制算法，无需知道太多的专家控制规则，因此解决了制冷系统MIMO模糊推理规则难以获取的问题。
This algorithm improves the method of coding, size of population and operators; USES expert knowledge to aid searching feasible solution; and presents self adaptive adjusting of penalty factor.
该算法对传统遗传算法的编码方式、群体规模以及遗传算子等方面进行了改进，利用专家知识辅助搜寻可行解，并提出罚因子的自适应调整。
This algorithm improves the method of coding, size of population and operators; USES expert knowledge to aid searching feasible solution; and presents self adaptive adjusting of penalty factor.
该算法对传统遗传算法的编码方式、群体规模以及遗传算子等方面进行了改进，利用专家知识辅助搜寻可行解，并提出罚因子的自适应调整。
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