Analog Circuit Fault Diagnosis Based on Distributed Neural Network

Abstract

In order to solve the problems caused by large dataset, such as the network scale and the training time, a new method of analog circuit fault diagnosis based on distributed neural network is presented in this paper. The model of distributed neural network is simply introduced. The arithmetic mechanism is depicted in detail and the arithmetic description is given. Simulation results show that this method can improve learning speed and carry out fault diagnosis of analog circuit accurately.