Sneak Circuit Analysis Based on Neural Network
Changhua Hu · Journal of Astronautics · 2006
The paper presented a novel approach of sneak circuit analysis based on neural network,which inputs were the vectors of qualitative states of components of system and outputs were the vectors of designedly functional combination.The novel approach can overcome the weaknesses of conventional methods of sneak circuit analysis,such as the complexity of analysis and laborious analysis process.The relations between components of circuit and designed functions generated the samples which were used to train neural network.the trained neural network was used to predict the functions of circuit with a given switch state vector.The sneak circuit can be discovered by comparing the predicted functions designed ones.The simulation revealed that the legitimacy of the approach is more than 92 percent,and the workloads were reduced greatly.