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;

D O I：

暂无

中图分类号：

学科分类号：

摘要：

引用

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