An Efficient Machine Learning Approach for PSIJ Analysis in a Chain of CMOS Inverters

In this paper, an efficient machine learning approach based on the knowledge-based and recurrent neural networks to predict power supply induced jitter in the presence of multiple power supply noises is presented. The proposed approach provides a reasonable accuracy and a significant increase in speed compared to conventional approaches.