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本文提出了一种新的模糊Kohonen聚类网络，它将模糊c-均值作为模糊控制机制结合到Kohonen网络学习和更新策略中，有效地解决了经典Kohonen聚类网络中学习参数启发式调整的缺点，仿真结果表明网络的收敛性和分类结果都得到了很大改善．
In this paper, a new fuzzy Kohonen clustering network is proposed, which combines fuzzy c-means as a fuzzy control mechanism into the Kohonen network learning and updating strategy, and effectively solves the shortcoming of heuristic adjustment of learning parameters in classical Kohonen clustering networks The simulation results show that the network convergence and classification results have been greatly improved.