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.
探讨了用于运动控制的单神经元pid控制器的结构与基于BP网络的模糊自适应PID控制。
The structure of single neuron PID controller for motion control and the fuzzy adaptive PID control based on BP networks are researched on.
利用区间数的分解和模糊分解定理，研究了一种结构模糊有限元平衡方程的求解方法。
Based on resolution of interval Numbers and fuzzy resolution theorem, we develop a method of solving the structural fuzzy finite element equilibrium equations.
利用模糊有限元法，建立了基于可能性理论的结构模糊可靠度计算方法。
By means of fuzzy finite element method, the method for fuzzy reliability analysis of structures are put forward based on possibility theory.
研究模糊桁架结构在模糊力作用下的有限元分析方法。
The analysis methods of the finite element for fuzzy truss structures under fuzzy loads action are studied.
对薄壁箱梁结构模糊分析的数值计算理论进行深入研究，提出了基于一维离散有限元法的薄壁箱梁模糊分析理论。
The numerical methods of fuzzy analysis for thin-walled box girders are studied systematically, the one-dimensional fuzzy finite element method for thin-walled box girders is proposed.
提出的一种模糊神经元网络是模糊逻辑的一种网络结构的实现。
A fuzzy neural network is presented. It is essentially a network implementation of fuzzy logic.
提出的一种模糊神经元网络是模糊逻辑的一种网络结构的实现。
A fuzzy neural network is presented. It is essentially a network implementation of fuzzy logic.
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