介绍了神经元非模型控制的结构和基本原理及模糊控制器的设计的两种基本方法。
An introduction of the basic principles of the neuron model-free control and the basicdesign methods of the fuzzy controller is given.
由于预先运用基于FCM的自适应模糊聚类方法确定模糊神经元网络合理的结构，并设置网络的初始权值，从而可提高网络的训练速度。
Since an FCM based self adaptive fuzzy clustering technique is employed to determine the proper structure of the FNN and set the initial weights in advance, the network can be trained rapidly.
通过分析中轴与结构奇异性之间的关系，作者提出了基于中轴的自适应有限元模糊控制的思想。
By analyzing the relationship of medial axis and structural singularity, we propose a new idea of medial axis based adaptive finite element fuzzy control.
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