Probabilistic Uncertainty Quantification of Microwave Circuits Using Gaussian Processes

In this article, a probabilistic machine learning framework based on Gaussian process regression (GPR) and principal component analysis (PCA) is proposed for the uncertainty quantification (UQ) of microwave circuits. As opposed to most surrogate modeling techniques, GPR models inherently carry infor...

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