Direct Inverse Modeling for Electromagnetic Components Using Gaussian Kernel Regression

This article proposes a novel direct inverse modeling (DIM) of electromagnetic (EM) devices using Gaussian kernel regression. In this method, the nonlinear multivariate relationship between design and electrical properties is represented by the Gaussian kernels. Once the regression function is built...

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