基于人工神经网络的火控系统故障诊断

Fault diagnoses of the fire control system based on artificial neural network

阐述了人工神经网络的基本原理,研究分析了BP神经网络的缺陷并提出了优化策略。在此基础上,将BP神经网络应用于火控系统故障诊断之中,提出了基于此网络的火控系统故障诊断模型、实现方法和优点。

In this paper the theory of artificial neural network has been introduced. At the same time some limitations of BP neural network have been analyzed and optimized methods have been supposed. Based on that, BP neural network is implied in the fault diagnoses of the fire control system. The model of fault diagnoses and its merits based on BP neural network have been put forward.