基于模糊逻辑理论和人工神经元网络，提出了将模糊神经网络应用于变压器故障诊断的方法。
Based on fuzzy logic theory and artificial neural networks, the method of the transformer fault diagnosis with fuzzy neural networks is presented.
剖析二进神经元的逻辑意义对二进神经网络的规则提取是十分重要的。
For extracting rules from binary neural networks, it is important to analyze logical meaning of neurons.
模糊逻辑的基本与、或、非运算分别由一个模糊神经元实现。
The realization of the basic And, Or and Negation fuzzy logical operations is shown by the fuzzy neuron.
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