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提出一种自组织模糊神经元网络控制学习方法，该方法由自组织模糊神经元网络（ＳＯＮＦ）和基于径向函数网络（ＲＢＦ）组成，具有自适应和自学习的特点．其中ＳＯＮＦ网络具有初始的网络结构与启发式模糊控制规则，能够进行结构学习与参数学习；ＲＢＦ网络用于控制对象模型的辨识，并为ＳＯＮＦ网络提供示教信号．仿真结果表明，所提出的方法控制学习效果较好．
A self-organizing fuzzy neural network control learning method is proposed, which consists of self-organizing fuzzy neural network (SONF) and radial function network (RBF), which has the characteristics of self-adaptation and self-learning. Among them, SONF network has the initial network structure and heuristic fuzzy control rules, which can be used for structure learning and parameter learning. RBF network is used to identify the control object model and provide teaching signal for SONF network. The simulation results show that the proposed method can control learning better.