现代电子技术2011，Vol.34Issue(14)：148-150,153,4.
模拟电路故障诊断的BP神经网络方法研究
Research on BP Neural Network Method of Fault Diagnosis for Analog Circuits
孙必伟 1潘强1
作者信息
- 1. 海军工程大学电子工程学院,湖北,武汉,430033
- 折叠
摘要
Abstract
The BP network is a neural network which is widely used in fault diagnosis for analog circuits. Due to the disadvantages of the BP traditional algorithm that the error is dropped slowly, the adjustment time is long, and even is easily to fall into local minimum and unable to extricate themselves and so on, a method of combining resilient arithmetic with BP network is proposed. Then the modeling and simulation are performed with a certain type of radar equipment in the specific circuit. Experimental results show that the error of BP network which combining with resilient arithmetic has stabile convergence and fast training. And the effect in overcoming the limitations of traditional BP algorithms is obvious. A method of fault diagnosis and maintainance for new radar equipment is provided. This method has certain utility significance.关键词
BP神经网络/弹性算法/模拟电路/故障诊断Key words
BP neural network/ resilient arithmetic/ analog circuits/ fault diagnosis分类
信息技术与安全科学引用本文复制引用
孙必伟,潘强..模拟电路故障诊断的BP神经网络方法研究[J].现代电子技术,2011,34(14):148-150,153,4.
