Metaheuristic-Driven Machine Learning for Best-Observed Feasible Weight Estimation of Braced Steel High-Rise Frames

Betül Üstüner, Aybike Özyüksel Çiftçioğlu, Erkan Doğan, Ali Mardani

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DOI: 10.3390/ma19204272
Published: 2026-10-09
Container: Materials
Publisher: MDPI AG
Open access: unknown

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Cite this work

BibTeX

@article{allodium:10.3390/ma19204272,
  title = {Metaheuristic-Driven Machine Learning for Best-Observed Feasible Weight Estimation of Braced Steel High-Rise Frames},
  author = {Betül Üstüner and Aybike Özyüksel Çiftçioğlu and Erkan Doğan and Ali Mardani},
  year = {2026},
  journal = {Materials},
  doi = {10.3390/ma19204272},
  url = {https://doi.org/10.3390/ma19204272}
}

RIS

TY  - JOUR
TI  - Metaheuristic-Driven Machine Learning for Best-Observed Feasible Weight Estimation of Braced Steel High-Rise Frames
AU  - Betül Üstüner
AU  - Aybike Özyüksel Çiftçioğlu
AU  - Erkan Doğan
AU  - Ali Mardani
PY  - 2026
JO  - Materials
DO  - 10.3390/ma19204272
UR  - https://doi.org/10.3390/ma19204272
ER  -

APA

Üstüner, B., Çiftçioğlu, A. Ö., Doğan, E., & Mardani, A. (2026). Metaheuristic-Driven Machine Learning for Best-Observed Feasible Weight Estimation of Braced Steel High-Rise Frames. Materials. https://doi.org/10.3390/ma19204272

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crossref · retrieved 2026-11-10T08:54:02.372Z