de-Miguel-RodrÃguez, J.; Morales-Esteban, A.; Requena-GarcÃa-Cruz, M.-V.; Zapico-Blanco, B.; Segovia-Verjel, M.-L.; Romero-Sánchez, E.; Carvalho-Estêvão, J.M.
Fast Seismic Assessment of Built Urban Areas with the Accuracy of Mechanical Methods Using a Feedforward Neural Network. Sustainability 2022, 14, 5274.
https://doi.org/10.3390/su14095274
AMA Style
de-Miguel-RodrÃguez J, Morales-Esteban A, Requena-GarcÃa-Cruz M-V, Zapico-Blanco B, Segovia-Verjel M-L, Romero-Sánchez E, Carvalho-Estêvão JM.
Fast Seismic Assessment of Built Urban Areas with the Accuracy of Mechanical Methods Using a Feedforward Neural Network. Sustainability. 2022; 14(9):5274.
https://doi.org/10.3390/su14095274
Chicago/Turabian Style
de-Miguel-RodrÃguez, Jaime, Antonio Morales-Esteban, MarÃa-Victoria Requena-GarcÃa-Cruz, Beatriz Zapico-Blanco, MarÃa-Luisa Segovia-Verjel, Emilio Romero-Sánchez, and João Manuel Carvalho-Estêvão.
2022. "Fast Seismic Assessment of Built Urban Areas with the Accuracy of Mechanical Methods Using a Feedforward Neural Network" Sustainability 14, no. 9: 5274.
https://doi.org/10.3390/su14095274
APA Style
de-Miguel-RodrÃguez, J., Morales-Esteban, A., Requena-GarcÃa-Cruz, M.-V., Zapico-Blanco, B., Segovia-Verjel, M.-L., Romero-Sánchez, E., & Carvalho-Estêvão, J. M.
(2022). Fast Seismic Assessment of Built Urban Areas with the Accuracy of Mechanical Methods Using a Feedforward Neural Network. Sustainability, 14(9), 5274.
https://doi.org/10.3390/su14095274