Design of PCB-based PDNs has
become a challenge due to rising power consumption, lowering supply voltages,
increasing integration density and design complexity. In this paper, we propose an algorithmic procedure using supervised machine
learning techniques to provide expert guidance on the PDN design and optimize
power supply decoupling capacitors. The proposed method replaces the computationally
expensive numerical simulations with faster ANNs.