Reliability analysis of portal frame subjected to varied lateral loads using machine learning
Author:
Publisher
Springer Science and Business Media LLC
Subject
Civil and Structural Engineering
Link
https://link.springer.com/content/pdf/10.1007/s42107-023-00893-x.pdf
Reference41 articles.
1. Abba, S. I., Linh, N. T. T., Abdullahi, J., Ali, S. I. A., Pham, Q. B., Abdulkadir, R. A., Costache, R., Nam, V. T., & Anh, D. T. (2020). Hybrid machine learning ensemble techniques for modeling dissolved oxygen concentration. IEEE Access, 8, 157218–157237. https://doi.org/10.1109/ACCESS.2020.3017743.
2. Aftab, F., Khan, A., & Zhang, Z. (2019). Bio-inspired clustering scheme for Internet of Drones application in industrial wireless sensor network. International Journal of Distributed Sensor Networks. https://doi.org/10.1177/1550147719889900.
3. Al-Khafaji, Z., Heddam, S., Kim, S., Denouwé, D. D., Bouaissi, A., Mohammad, R. S., Yehia, S., Hussein, A. A., & Al Zand, A. W. (2022). State-of-art: artificial intelligence models era in modeling beam shear strength. Knowledge-Based Engineering and Sciences, 3(3), 1–63. https://doi.org/10.5152/kbes.2022.3.3.1-63.
4. Babu, G. L. S., & Srivastava, A. (2007). Reliability analysis of allowable pressure on shallow foundation using response surface method. Computers and Geotechnics, 34, 187–194. https://doi.org/10.1016/j.compgeo.2006.11.002.
5. Beheshti Nezhad, H., Miri, M., & Ghasemi, M. R. (2019). New neural network-based response surface method for reliability analysis of structures. Neural Computing and Applications, 31(3), 777–791. https://doi.org/10.1007/S00521-017-3109-2.
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