The use of Artificial Neural Networks to estimate seismic damage and derive vulnerability functions for traditional masonry
Crossref DOI link: https://doi.org/10.1007/s11709-020-0623-6
Published Online: 2020-05-22
Published Print: 2020-06
Update policy: https://doi.org/10.1007/springer_crossmark_policy
Ferreira, Tiago Miguel
Estêvão, João
Maio, Rui
Vicente, Romeu
Text and Data Mining valid from 2020-05-22
Version of Record valid from 2020-05-22
Article History
Received: 4 February 2019
Accepted: 21 June 2019
First Online: 22 May 2020