Concept高斯过程代理模型 / GP代理模型
Gaussian Process Surrogate Model
A surrogate model based on Gaussian process regression, used to replace high-fidelity numerical simulations for rapid prediction and to quantify uncertainty.
Timeline (last 90 days)
Oct 19
The study systematically maps the fold boundary and its family as the elastic axis position varies by coupling unsteady Euler simulations, a Gaussian process surrogate model, and split conformal prediction, and for the first time provides a physical explanation from the perspective of shock-wave energy transfer.
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