神经网络在导弹故障诊断专家系统中的应用

The Application of The Neural Networks in the Missile Fault-Diagnosis Expert System

介绍了基于BP神经网络的导弹故障诊断专家系统的主要实现方法,详细讨论了该专家系统的知识库设计、知识表示及样本选择,以及神经网络推理机的关键实现技术,最后结合某型导弹故障诊断特点给出仿真试验,证明将神经网络应用至专家系统中诊断快速、准确率高,具备较强的实用价值。

This paper mainly discusses the key technology about the Missile Fault--Diagnosis Expert System based on Back--Propagation Neural Networks. the paper gives a detailed account about the design of the knowledge base, the method of knowledge representation and sample selection, and introduces the key realizing techniques of the neural networks reasoning machine. Finally, the paper gives a simulation, which proves that the application of the BP neural network improves the Fault--Diagnosis efficiently.