The fault diagnosis expert system of missile based on neural network

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.