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RISPhysicsConstrained Bayesian Neural Network for Bias and Variance Reduction
Publisher: The American Society of Mechanical Engineers (ASME)
Abstract: When neural networks are applied to solve complex engineering problems, the lack of training data can make the predictions of the surrogate inaccurate. Recently, physicsconstrained neural networks were introduced to integrate ...
Physics-Constrained Bayesian Neural Network for Bias and Variance Reduction
Publisher: The American Society of Mechanical Engineers (ASME)
Abstract: When neural networks are applied to solve complex engineering problems, the lack of training data can make the predictions of the surrogate inaccurate. Recently, physics-constrained neural networks were introduced to ...