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本文采用广义模糊神经网络实现分段建模的思想．给出了一种广义k－均值聚类算法，该算法能同时确定模糊规则的个数和相应的参数．仿真结果表明该算法是可行和有效的．
This article adopts generalized fuzzy neural network to realize the idea of piecewise modeling. A generalized k-means clustering algorithm is given, which can determine the number of fuzzy rules and the corresponding parameters simultaneously. Simulation results show that the algorithm is feasible and effective.