Geological Literature
Hessian-based uncertainty quantification for Physics-Informed Neural Networks: Application to the frictional parameter estimation (STT38-P06)(poster session)(abs.)
Rikuto Fukushima, Masayuki Kano, Kazuro Hirahara, Makiko Ohtani
| item | description |
|---|---|
| Title | Hessian-based uncertainty quantification for Physics-Informed Neural Networks: Application to the frictional parameter estimation (STT38-P06)(poster session)(abs.) |
| Authors | Rikuto Fukushima, Masayuki Kano, Kazuro Hirahara, Makiko Ohtani |
| Data name | Abstracts, Japan Geoscience Union Meeting (online) |
| Volume | 2024 |
| Page | STT38-P06 |
| Year | 2024 |
| Publisher | Japan Geoscience Union |
| Language | EN |
| GEOLIS URL | https://darc.gsj.jp/archives/detail?cls=geolis&pkey=300044143 |
| Link | |
| @id | https://gbank.gsj.jp/ld/resource/geolis/300044143 |