This paper introduces a new adaptive fuzzy system with Gauss fuzzier (GAF), optimizing the parameter based on the data from PID by back-propagation algorithm.
本文提出一种带有高斯模糊器的自适应模糊系统(GAF)，基于PID控制的成功经验数据，通过反向传播学习算法对其进行参数寻优。
In GAF, the network is divided into several grids, in which one node is chosen as the cluster head to represent the whole grid to communicate with other grids.
它将网络划分成若干个单元格，同一单元格内推举一个节点作为簇头，代替整个单元格实现通信功能。
In GAF, the network is divided into several grids, in which one node is chosen as the cluster head to represent the whole grid to communicate with other grids.
它将网络划分成若干个单元格，同一单元格内推举一个节点作为簇头，代替整个单元格实现通信功能。
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