Bülbül, M.A.; Harirchian, E.; Işık, M.F.; Aghakouchaki Hosseini, S.E.; Işık, E.
A Hybrid ANN-GA Model for an Automated Rapid Vulnerability Assessment of Existing RC Buildings. Appl. Sci. 2022, 12, 5138.
https://doi.org/10.3390/app12105138
AMA Style
Bülbül MA, Harirchian E, Işık MF, Aghakouchaki Hosseini SE, Işık E.
A Hybrid ANN-GA Model for an Automated Rapid Vulnerability Assessment of Existing RC Buildings. Applied Sciences. 2022; 12(10):5138.
https://doi.org/10.3390/app12105138
Chicago/Turabian Style
Bülbül, Mehmet Akif, Ehsan Harirchian, Mehmet Fatih Işık, Seyed Ehsan Aghakouchaki Hosseini, and Ercan Işık.
2022. "A Hybrid ANN-GA Model for an Automated Rapid Vulnerability Assessment of Existing RC Buildings" Applied Sciences 12, no. 10: 5138.
https://doi.org/10.3390/app12105138
APA Style
Bülbül, M. A., Harirchian, E., Işık, M. F., Aghakouchaki Hosseini, S. E., & Işık, E.
(2022). A Hybrid ANN-GA Model for an Automated Rapid Vulnerability Assessment of Existing RC Buildings. Applied Sciences, 12(10), 5138.
https://doi.org/10.3390/app12105138