构建多变量模糊逻辑控制器的难点是过多的模糊控制规则及多变量模糊控制规则的生成。
The important item of designing multivariable fuzzy controller is to obtain the rules of the multivariable fuzzy control.
研究了重介选煤工艺介质密度和液位系统的动态特性，液位和密度的多变量模糊控制方法。
The dynamic properties of density and level system of heavy medium suspension in heavy media coal processing are analyzed, and the multivariable fuzzy control system of level and density is studied.
应用单层神经网络可以学习多变量模糊控制规则中的未知参数．还可由它来实现多变量模糊推理过程。
The parameters of me fuzzy control rules of me controller can be learned by the learning slgorithm of the neural netowrk. and the inference process can be realized by the network.
应用推荐