ShuiSheng Ye

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A model of fuzzy Kohonen neural network for fuzzy clustering is presented. It uses fuzzy membership degree to describe approximate degree for input patterns and clusters’ centers, which is represented by learning rate. In addition, in order to extract more useful information from input patterns, a supervised learning, called post-learning phase, is added to(More)
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