Verified75% confidenceFactExact time
A surrogate model is a lightweight approximate model (such as a Gaussian process or neural network) trained with relatively few simulation samples, used to quickly predict the impact of design parameter changes on metrics such as power, area, and gain, thereby guiding the location of the next sampling point.
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10/12/2026
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