Research on Application of RBF Neural Network in Equipment Fault Diagnosis
RBF neural network is better than BP neural network in many aspects such as the ability of approaching function and classifying, higher learning and training speed and so on. This paper researches the structure and training algorithms of RBF neural network, designs a fault diagnosis system of RBF neural network for equipment fault diagnosis and makes simulations based on Matlab platform.
RBF Neural Network fault diagnosis training algorithm simulation
LI Yan ZHENG Silong MA Leilei
Department of Missile Engineering, Ordnance Engineering College, Shijiazhuang, Hebei, China, 050003
国际会议
第八届国际测试技术研讨会(8th International Symposium on Test and Measurement)
重庆
英文
1651-1654
2009-08-01(万方平台首次上网日期,不代表论文的发表时间)