Based on fuzzy logic theory and artificial neural networks, the method of the transformer fault diagnosis with fuzzy neural networks is presented.
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。
The diagnosis method based on fuzzy normal partition logic reasoning is discussed in this paper.
提出了一种基于模糊正态划分的逻辑推理诊断方法。
On the model with reasonable isomorph suppose, a model-based diagnosis is used in program debbuging for logic errors, and compare this model to the other classical models on its advantages.
在此模型上，使用合理的同构假定，运用基于模型的诊断方法对程序进行逻辑错误的诊断，并与经典的诊断模型作了比较。
应用推荐