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提出了一种基于改进模糊聚类算法的训练模糊神经网络的算法。该方法采用遗传算法改进传统的模糊聚类算法，并给出了一个衡量聚类有效性的函数以确定聚类算法中的聚类总数，从而确定模糊神经网络结构。仿真结果表明模糊神经网络可成功的应用于噪声消除。
A training fuzzy neural network algorithm based on improved fuzzy clustering algorithm is proposed. This method uses genetic algorithm to improve the traditional fuzzy clustering algorithm and gives a function to measure the validity of clustering to determine the total number of clustering in clustering algorithm to determine the structure of fuzzy neural network. Simulation results show that the fuzzy neural network can be successfully applied to noise cancellation.