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Showing 1 to 1 of 1 for “"Physics-informed Stochastic Surrogate"”.

  1. Engineering-driven Machine Learning Methods for System Intelligence

    … without decaying the performance. Second, a physics-informed stochastic surrogate model is proposed by incorporating the idea of building and solving differential equations into designing the stochastic process. The proposed method outperforms pure data-driven stochastic surrogates in …

    vt Repository record for Engineering-driven Machine Learning Methods for System Intelligence (opens in a new tab)