Expert system and artificial neural net are main intelligence diagnosis ways for rolling milling hydraulics failures.

专家系统与神经网络是轧机液压故障智能诊断的主要途径。

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Based on profoundly researching concerned technology, the thesis focuses on the key techniques, which need the combination of expert system technique and neural network with net technique.

在对所涉及到的技术进行了较为深入的研究的基础上，研究了如何实现传统专家系统及神经网络系统技术与网络技术的紧密结合。

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