提出一种利用非单点模糊系统建模的短波通信频率参数预测模型。
This paper presents a prediction model of frequency parameters of short-wave communication based on non-singleton fuzzy system.
模糊系统辨识是模糊系统建模的主要手段，优化的模糊系统结构是模糊系统辨识的关键。
Fuzzy system identification is one of the main approaches of fuzzy system modeling. Optimized fuzzy system structure is the key of fuzzy system identification.
模糊认知图作为一种模糊逻辑和神经网络相结合的产物，为复杂系统建模提供了一种有效工具。
Fuzzy cognitive maps as a soft computing method, which combines the synergistic fuzzy logic and theories of neural networks provides a powerful tool for the complex system modeling.
FCM—I大大简化了用模糊关系方程为多变量系统建模的复杂性。
With FCM- I , the complexity of using fuzzy relational equation in modelling multivariable systems is greatly reduced.
交流传动的纸机在高速运行时，由于系统建模带来的控制偏差对精度的影响随速度升高逐渐增大，采用模糊控制可以摒弃建模偏差的影响。
The error, which is produced by modeling a paper machine control system driven by induction motor, will get more and more influence on system accuracy with the increasing work speed.
基于二叉树和模糊逻辑理论，提出了一种用于复杂系统建模的模糊树模型。
Based on the binary tree structure and fuzzy logic theory, a fuzzy tree model applied to complex system modeling is proposed in this paper.
提出了模糊神经网络用于SARS疾病疫情非线性系统建模和预报的思想，该方法可以推广到各种流行性疾病的预防和控制中。
Put forward one idea of fuzzy neural networks using to distinguish and forecast non-linearity systems of SARS epidemic situation. The method can generalize to defend and control on apiece epidemic.
首先，采用模糊T-S模型来对非线性系统建模，由线性矩阵不等式得到模糊模型的控制律。
The fuzzy T-S model is used to approximate the nonlinear systems, and the fuzzy control law of the fuzzy model is derived from the linear matrix inequality.
首先，采用模糊T-S模型来对非线性系统建模，由线性矩阵不等式得到模糊模型的控制律。
The fuzzy T-S model is used to approximate the nonlinear systems, and the fuzzy control law of the fuzzy model is derived from the linear matrix inequality.
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