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.

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人工神经网络(ANN)可以用来模仿专家的形象思维，它的许多优点使得CBR与ANN之间存在某种自然联系，在很多方面两者具有互补性。

Artificial neural networks (ANN) can be used to simulate the visual thinking process of experts, and many of its advantages make itself have some natural connection and complementation with CBR.

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本课题旨在建立神经网络高炉异常炉况判断专家系统，并解决传统专家系统在知识获取方面的“瓶颈”问题，使其具有在线学习能力。

The object of this research is to set up the neural network expert system of judging the abnormal state in acquiring knowledge , so to make it have the ability of self-learning on-line.

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