HilbertNet: A Probabilistic Machine Learning Framework for Frequency Response Extrapolation of Electromagnetic Structures

In this article, we propose a probabilistic machine learning framework for extrapolating the frequency response of distributed physical circuits. For the structures where there is hidden dependency between higher and lower frequency features, we propose a method to extrapolate the response while providing confidence intervals harnessing Bayesian recurrent neural networks (RNN) thereby avoiding ext...