Novel approaches for hyper-parameter tuning of physics-informed Gaussian processes: application to parametric PDEs
Crossref DOI link: https://doi.org/10.1007/s00366-024-01970-8
Published Online: 2024-04-08
Update policy: https://doi.org/10.1007/springer_crossmark_policy
Ezati, Masoud
Esmaeilbeigi, Mohsen
Kamandi, Ahmad
Text and Data Mining valid from 2024-04-08
Version of Record valid from 2024-04-08
Article History
Received: 18 November 2023
Accepted: 11 March 2024
First Online: 8 April 2024
Declarations
:
: The authors declare that they have no any Conflict of interest.