论述了RBF神经网络的基本网络结构和网络的学习及运行过程,结果表明:RBF神经网络具有极快的学习收敛速度。讨论了RBF神经网络在旋转机械故障诊断中的应用,并对训练后的网络进行了仿真测试,仿真结果表明RBF网络有较高诊断正确率。
The architecture, learning and running of the radial basis function neural network are discussed.The result shows that the RBF network has a high learning rate. And then it discusses the study of RBF network applied to rotating machinery fault diagnosis , and the simulated results show that the RBF network has a high accuracy of diagnosis.