Power Delivery Netze

Currently machine learning tools are not capable to provide analysis solutions for complex printed circuit boards. It is unknown how to prepare the data and how to determine the optimal architecture of the machine learning process. We show that both …

An artificial neural network approach is presented to predict whether a power delivery network setup violates the target impedance. Random decoupling capacitor distributions are evaluated. It is shown that a prediction accuracy close to 90% can be …