Biot’s equations—forward modeling: PINN performance as function of training set size.
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Sum of relative errors between the exact and predicted values of u, v, and p for the validation set. The table shows the dependency on the number of the initial and boundary training data, Nb, and on the number of collocation points, NΠ. The hyperparemeters are fixed to 4 layers with 10 neurons per hidden layer.
创建时间：
2020-05-06
