Impedance Response Extrapolation of Power Delivery Networks using Recurrent Neural Networks

Often times the impedance response of a power delivery network needs to be extrapolated to determine if any resonances occur in the vicinity or outside of the band-limited response provided. If the circuit models are unavailable, this can become a cumbersome exercise. We propose a machine learning aided method using long short term memory recurrent neural networks to extrapolate the response in frequency thereby avoiding extensive simulations and saving computational time as opposed to EM solvers. Results show that the accuracy in the prediction is good with a mean square error of 0.008.