Across seven homogeneous and two heterogeneous analog/RF circuits, transformer, MLP, random forest, kNN, and SVR were benchmarked for inverse design; LNA and receiver achieved mean relative errors below 0.5%.
Design of a high-power gaussian pulse transmitter for sensing and imaging of buried objects,
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Supervised Learning for Analog and RF Circuit Design: Benchmarks and Comparative Insights
Across seven homogeneous and two heterogeneous analog/RF circuits, transformer, MLP, random forest, kNN, and SVR were benchmarked for inverse design; LNA and receiver achieved mean relative errors below 0.5%.