机械制造与自动化2013，Vol.42Issue(2)：113-115,3.
基于RBF神经网络的某交流伺服系统辨识研究
Identification of Some AC Servo Systems Based on RBF Neural Network
摘要
Abstract
To face the model identification problem of some AC servo systems,this paper proposes an identification method of RBF neural network based on hybrid algorithm. Since the neural network slows down the training speed and is not easy of the convergence, a hybrid algorithm based on clustering and gradient training algorithm are used to train the network. The clustering algorithm is applied to the clustering of the swatch and the determinaton of the structure of the cryptic network layer. The simulation results show the validity of the algorithm.关键词
交流伺服系统/RBF神经网络/系统辨识/聚类算法/梯度训练算法Key words
AC servo system/ RBF neural network/ system identification/ clustering algorithm/ gradient algorithm分类
信息技术与安全科学引用本文复制引用
刘通,童仲志..基于RBF神经网络的某交流伺服系统辨识研究[J].机械制造与自动化,2013,42(2):113-115,3.
