Monte Carlo fPINNs: deep learning method for forward and inverse problems involving high dimensional fractional partial differential equations (Q2083146)
From MaRDI portal
| This is the item page for this Wikibase entity, intended for internal use and editing purposes. Please use this page instead for the normal view: Monte Carlo fPINNs: deep learning method for forward and inverse problems involving high dimensional fractional partial differential equations |
scientific article; zbMATH DE number 7598921
| Language | Label | Description | Also known as |
|---|---|---|---|
| English | Monte Carlo fPINNs: deep learning method for forward and inverse problems involving high dimensional fractional partial differential equations |
scientific article; zbMATH DE number 7598921 |
Statements
Monte Carlo fPINNs: deep learning method for forward and inverse problems involving high dimensional fractional partial differential equations (English)
0 references
10 October 2022
0 references
physics-informed neural networks
0 references
fractional Laplacian
0 references
nonlocal operators
0 references
uncertainty quantification
0 references
0 references
0 references
0 references
0 references
0 references
0 references
0 references
0 references
0 references
0 references
0 references
0 references