Kernel ridge regression (KRR) is a regression technique for predicting a single numeric value and can deliver high accuracy for complex, non-linear data. KRR combines a kernel function (most commonly ...
Abstract: The present study explores the effectiveness of using Physics-Informed Neural Network (PINN) predictions as an initial guess for iterative methods in solving an inverse coefficient problem, ...
Abstract: The challenging task of solving inverse scattering problems (ISPs) is due to their inherent ill-posedness and nonlinearity. To alleviate ill-posedness, a novel hybrid regularization method ...
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