结果证明，采用基于专家规则的模糊控制算法对于这种非线性、不确定的大惯性系统有着良好的控制效果。
It proves that the fuzzy controller based on the rules of experts is effective on the nonlinear, indefinite and inertial system.
基于竞争学习算法的模糊分类器确定系统的模糊空间和模糊规则数，并得出每个样本对每条规则的适用程度。
The fuzzy space structure of system and the number of fuzzy rules based on fuzzy competitive learning algorithm are determined and the fitness degree of each rule contrast to each sample is obtained.
整个网络既有神经网络的学习能力，又有模糊系统的基于规则的推理能力，特别是对子类的自动聚类能力。
The whole network has not only the learning ability to neural network, but also the logic ability to fuzzy system based on rules, especially the automatic clustering ability to sub-class.
应用推荐