Research on Application of RBF Neural Network in Equipment Fault Diagnosis

摘要：

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.

关键词： RBF Neural Network fault diagnosis training algorithm simulation

作者: LI Yan ZHENG Silong MA Leilei

作者单位: Department of Missile Engineering, Ordnance Engineering College, Shijiazhuang, Hebei, China, 050003

会议类型: 国际会议

会议名称: 第八届国际测试技术研讨会(8th International Symposium on Test and Measurement)

会议地点: 重庆

会议语种:英文

页码: 1651-1654

在线出版日期: 2009-08-01（万方平台首次上网日期，不代表论文的发表时间）