Teaching Neural Networks Where Errors Matter | Newswise
[ad_1] Newswise — This study introduces volume weighting physics-informed neural networks (VW-PINNs), a new framework that changes how residual errors are evaluated during training. By weighting the PDE residual according to the volume occupied by collocation points in the computational domain, the method avoids over-learning in regions where collocation points are densely sampled. A sufficient […]