摘要
对T-S模糊神经网络进行了分析,提出了一种新型T-S模糊神经网络,改进了前件网络的结构及学习算法,减少了模糊规则层的节点数,有效地克服了T-S模糊神经网络模糊规则冗余的缺点。这种新型T-S模糊神经网络具有学习算法简单、收敛速度快等优点。把该网络应用到卷取温度控制中进行仿真,得到了满意的结果。
The T-S fuzzy neural network is analyzed, and a type of T-S fuzzy neural network is presented. The structure and learning algorithm of the antecedent network is improved. The node number of the fuzzy rule layer is reduced. The shortcoming of redtmdant fuzzy rule in the T- S fuzzy neural network is overcomed,This T-S fuzzy neural network has many advantages such as the simplicity and faster convergence speed ete, and it is applied to coiling temperature control with satisfactory results.
出处
《控制工程》
CSCD
2005年第5期442-445,共4页
Control Engineering of China
关键词
T-S模糊系统
模糊神经网络
非线性系统辨识
卷取温度控制
T-S fuzzy system
fuzzy neural network
nonlinear system identification
coiling temperature control
