摘要
提出了一种基于自适应网络的模糊控制器的原理和设计方法，该模糊控制器在结构上各层具有明确的物理意义，在模糊关系上采用广义平均算子模型，既可以利用专家知识又可以利用神经网络的ＢＰ算法进行参数的修正，并易于硬件实现。
This paper presents the principle and design method of a kind of fuzzy controller based on adaptive network It has definite physical senses on its layers in structure and applies augmented mented mean operator model in the fuzzy relation It can modify its parameters by the human expert knowledge or by back propagation algorithm
出处
《矿冶》
CAS
1998年第2期79-82,共4页
Mining And Metallurgy
