The Fault Diagnosis Expert System of Missile Based on Neural Network

摘要：

A fault diagnosis expert system based on artificial neural network is introduced, which can take advantage of each technique, and avoid the weakness of each individual. The architecture of the neural network expert system is given, and the working principle is described. By analyzing the mechanism of the neural cells in hidden layer ,a method for combining Genetic Algorithm and BP Algorithm to optimize the design of the neural networks is presented, and it solves the defects of getting into infinitesimal locally and low convergence efficiently, it can also solve the problem that it can usually obtain nearly global optimization solution within shorter time through using Genetic Algorithm method lonely; Several examples validate that this algorithm can simplify the neural networks effectively, and it makes the neural networks solve the practical problem of fault diagnosis more effectively.

关键词： missile fault diagnosis neural network expert system Perceptron

作者: WANG Fan WU Duosheng

作者单位: Xian Research Inst. Of Hi-Tech Hongqing Town, P. R. China, Xian ,710025,

会议类型: 国际会议

会议名称: 第七届国际测试技术研讨会

会议地点: 北京

会议语种:英文

在线出版日期: 2007-08-05（万方平台首次上网日期，不代表论文的发表时间）