WNN Model Based on Particle Swarm Optimization for Fault Diagnosis in Analog Circuit
2013 ◽
Vol 427-429
◽
pp. 1048-1051
Keyword(s):
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.
2018 ◽
Vol 31
(9)
◽
pp. 4463-4478
◽
2012 ◽
Vol 562-564
◽
pp. 1336-1339
2013 ◽
Vol 756-759
◽
pp. 3804-3808
2012 ◽
Vol 182-183
◽
pp. 1953-1957
Keyword(s):