Robust Variational Physics-Informed Neural Networks

被引：0
|
作者：
Rojas, Sergio [1 ]
Maczuga, Pawel [2 ]
Muñoz-Matute, Judit [3 ,4 ]
Pardo, David [3 ,5 ,6 ]
Paszyński, Maciej [2 ]
机构：
[1] Instituto de Matemáticas, Pontificia Universidad Católica de Valparaíso, Chile
[2] AGH University of Krakow, Poland
[3] Basque Center for Applied Mathematics (BCAM), Spain
[4] Oden Institute for Computational Engineering and Sciences, The University of Texas at Austin, United States
[5] University of the Basque Country (UPV/EHU), Spain
[6] Ikerbasque, Spain
来源：
Computer Methods in Applied Mechanics and Engineering | 2024年 / 425卷
关键词：
A-posteriori error estimations - Minimum residual principle - Neural network method - Neural-networks - Petrov-galerkin formulations - Quadratic loss - Riesz representations - Robustness - Test space - Variational physic-informed neural network;
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