Sneak Circuit Analysis Based on Novel Coadjacent Neural Network Model for Reliability Control of Complex System
Hu Chang · Acta Automatica Sinica · 2008
Sneak circuits have important influence on systems' safety and reliability.Artificial neural network(ANN) is a new sneak circuit analysis(SCA)method.However,it is difficult to interpret why ANN gives the conclusion.A novel coadjacent neural network model based on circuit architecture,named CArNN,is proposed.Ensemble of the CArNN was employed to analysis the sneak circuits existing in systems.Two constraints guaranteeing the robustness of CArNN were given.A typical circuit containing sneak circuit was used to verify the method.The results showed 94% of the sneak circuits can be correctly recognized by the method.