Since an FCM based self adaptive fuzzy clustering technique is employed to determine the proper structure of the FNN and set the initial weights in advance, the network can be trained rapidly.

由于预先运用基于FCM的自适应模糊聚类方法确定模糊神经元网络合理的结构，并设置网络的初始权值，从而可提高网络的训练速度。

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Analyze the parameters of the fuzzy clustering method, ensure the self-adaptive clustering of the generators by the fuzzy statistical index.

对模糊聚类的方法进行了参数分析，引入指标保证了发电机分群的自适应性。

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