Research on BP Neural Network Method of Fault Diagnosis for Analog Circuits
Qiang Pan · Modern Electronics Technique · 2011
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.