Işık, M.F.; Avcil, F.; Harirchian, E.; Bülbül, M.A.; Hadzima-Nyarko, M.; Işık, E.; İzol, R.; Radu, D.
A Hybrid Artificial Neural Network—Particle Swarm Optimization Algorithm Model for the Determination of Target Displacements in Mid-Rise Regular Reinforced-Concrete Buildings. Sustainability 2023, 15, 9715.
https://doi.org/10.3390/su15129715
AMA Style
Işık MF, Avcil F, Harirchian E, Bülbül MA, Hadzima-Nyarko M, Işık E, İzol R, Radu D.
A Hybrid Artificial Neural Network—Particle Swarm Optimization Algorithm Model for the Determination of Target Displacements in Mid-Rise Regular Reinforced-Concrete Buildings. Sustainability. 2023; 15(12):9715.
https://doi.org/10.3390/su15129715
Chicago/Turabian Style
Işık, Mehmet Fatih, Fatih Avcil, Ehsan Harirchian, Mehmet Akif Bülbül, Marijana Hadzima-Nyarko, Ercan Işık, Rabia İzol, and Dorin Radu.
2023. "A Hybrid Artificial Neural Network—Particle Swarm Optimization Algorithm Model for the Determination of Target Displacements in Mid-Rise Regular Reinforced-Concrete Buildings" Sustainability 15, no. 12: 9715.
https://doi.org/10.3390/su15129715
APA Style
Işık, M. F., Avcil, F., Harirchian, E., Bülbül, M. A., Hadzima-Nyarko, M., Işık, E., İzol, R., & Radu, D.
(2023). A Hybrid Artificial Neural Network—Particle Swarm Optimization Algorithm Model for the Determination of Target Displacements in Mid-Rise Regular Reinforced-Concrete Buildings. Sustainability, 15(12), 9715.
https://doi.org/10.3390/su15129715