摘要
本文尝试将Hopfield神经网络应用于飞机发动机故障诊断,阐述了基于离散Hopfield网络的故障诊断专家系统的基本结构,对离散Hopfield网络的容错能力做了分析,这样一方面体现了离散Hopfield网络的优越的容错能力,另一方面也为以后对该网络进行进一步优化提供了相关数据,克服了传统诊断专家系统的不足。
This paper intends to apply the Hopfield neural net to fault diagnosis of airplane engine, and describes the basic configure, and analyzed the fault-tolerant ability of discrete Hopfield Network, in this way, this paper can show the superior fault-tolerant ability of discrete Hopfield Neural Network in the one hand; in the other hand, it can also support the relevant data for further optimization in the future, so the deficiency of the traditional diagnosis expert system is eliminated.
出处
《科技信息》
2010年第29期I0052-I0053,共2页
Science & Technology Information
