33rd IEEE Conference on Electrical Performance of Electronic Packaging and Systems, EPEPS 2024, Toronto, Kanada, 6 - 09 Ekim 2024
We propose a gradient boosted tree surrogate model for S-parameter prediction in high frequency structures with limited training data. Compared to data-hungry neural networks, our approach achieves reasonable accuracy and trains significantly faster.