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提出了根据氧化锌阀片(MOV)伏安特性进行筛选组合中的模糊聚类方法,并利用神经网络对它进行拟合。最后用实例说明了这种处理方法的有效性。
A fuzzy clustering method based on the volt-ampere characteristic of zinc oxide valve (MOV) was proposed, and the neural network was used to fit it. Finally, an example is given to illustrate the effectiveness of this approach.