简要介绍了具有专家调整策略的神经网络自组织模糊控制器在食用酒精发酵温度控制中的应用。
This paper introduces fuzzy neural network controller self organization with expert modulating tactics for the application of edible alcohol ferment temperature control.
采用模糊专家的控制策略的温度控制器包括两个回路：温度控制回路和压力控制回路。
The temperature controller based on fuzzy-expert control strategy has two loops, which are temperature loop and pressure loop.
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.
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