Distributed diagnosis algorithm for analog circuit fault
Zhou Han-xun · Computer Engineering and Applications Journal · 2010
In order to solve the problems caused by large dataset,such as the network scale and the training time,distributed diagnosis algorithm for analog circuit fault is presented in this paper.This algorithm adopts supervised Hebb learning rules.In addition,because the class flag is added to the algorithm,the learning algorithm doesn't discard the partial information due to data partitioning.This distributed algorithm and traditional BP algorithm are used respectively in the fault diagnosis of and example circuit.Simulation results indicate that the distributed algorithm in this paper not only has a equivalent accuracy with BP algorithm,but also speed up the learning rate effectively.