WNN Model Based on Particle Swarm Optimization for Fault Diagnosis in Analog Circuit
Xu Gan, Hao Lin Cui, Ya Rong Wu · Applied Mechanics and Materials · 2013
In order to diagnose the fault in analog circuit correctly, a Wavelet Neural Network (WNN) method is proposed that uses the Particle Swarm Optimization (PSO) algorithm to optimize the network parameters. For the improvement of convergence rate in WNN based on PSO algorithm, a compressing method in research space is introduced into the traditional PSO algorithm to improve the convergence in WNN training. The simulation shows that the proposed method has a good diagnosis with fast convergence rate for the fault in analog circuit.