Construct a new reasoning algorithm so that it has the nature of the fuzzy reasoning has been the main theoretical issue.

构造新的推理算法使之具有上述性质一直是模糊推理的主要理论问题。

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In this paper, fuzzy neural network was studied and fuzzy reasoning was realized by use of neural networks structure. BP algorithm is used to optimize local parameter.

本文研究了模糊神经网络，用神经网络结构进行模糊推理，用BP算法调节和优化具有局部性的参数。

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Rule reasoning﹑fuzzy decision and information fusion algorithm are merged, and the step fault diagnosis method is accomplished;

将规则推理﹑模糊决策﹑多传感器信息融合算法融为一体，形成一阶梯式故障推理机制；

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