Earthquake scenarios for building portfolios using artificial neural networks: part Iāground motion modelling
Crossref DOI link: https://doi.org/10.1007/s10518-022-01598-3
Published Online: 2022-12-17
Published Print: 2024-05
Update policy: https://doi.org/10.1007/springer_crossmark_policy
Kalakonas, Petros http://orcid.org/0000-0002-2868-2328
Silva, Vitor
Text and Data Mining valid from 2022-12-17
Version of Record valid from 2022-12-17
Article History
Received: 14 July 2022
Accepted: 13 December 2022
First Online: 17 December 2022
Declarations
:
: The authors declare that they have no conflict of interest.