The analysis results show that using fuzzy clustering to classify the traffic flow is feasible;

分析结果表明：用模糊聚类进行交通流状况分类是一种可行的方法；

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Using fuzzy clustering, the original bands set of hyperspectral remotely sensed images is divided into some fuzzy equivalent subset.

通过模糊聚类，得到对高光谱遥感影像原始波段集合的模糊等价划分。

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Then we introduce how to identify the TS model from sample data using fuzzy clustering algorithm and equivalent feedforward neural network.

然后介绍了如何使用模糊聚类算法和等价的前馈神经网络从样本数据中辨识离散的TS模型。

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