摘要
提出了一种新型的动态递归模糊神经网络,并根据动态递归神经网络的数学模型推导出其动态反向传播学习算法,仿真结果表明对于动态系统的辨识,动态递归模糊神经网络较传统模糊神经网络在辨识精度和稳定性方面具有更好的效果.
A novel dynamic recurrent fuzzy neural network is presented in this paper, and its dynamic back propagation algorithm is formulated according its mathematic models. The simulation results show that the presented dynamic recurrent neural network is more effective in view of accuracy and stability for the identification of the dynamic systems.
出处
《武汉化工学院学报》
2004年第4期65-68,77,共5页
Journal of Wuhan Institute of Chemical Technology
关键词
动态递归模糊神经网络
动态反向传播学习算法
动态系统
辨识
dynamic recurrent fuzzy neural network
dynamic back propagation algorithm
dynamic systems
identification
