啤酒发酵作为啤酒生产过程最重要的环节，发酵温度控制尤为重要。
Beer fermentation process of beer production, as the most important aspects, fermentation temperature control is particularly important.
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.
针对烟叶发酵温度控制系统的大滞后、大惯性、强耦合、时变的特点，提出了一种烟叶发酵温度的模糊控制系统。
Aiming at the characteristics of large delay, great inertia, strong coupling and time varying in the control system of tobacco leaf fermenting temperature, a fuzzy control system is put forward.
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