Assessing seismic vulnerability of structures with damper using an ANN-based approach
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Springer Science and Business Media LLC
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https://link.springer.com/content/pdf/10.1007/s42107-024-01116-7.pdf
Reference22 articles.
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3. Asgarkhani, N., Kazemi, F., Jakubczyk-Gałczyńska, A., Mohebi, B., & Jankowski, R. (2024). Seismic response and performance prediction of steel buckling-restrained braced frames using machine-learning methods. Engineering Applications of Artificial Intelligence, 128, 107388. https://doi.org/10.1016/j.engappai.2023.107388
4. Birky, D., Ladd, J., Guardiola, I., & Young, A. (2022). Predicting the dynamic response of a structure using an artificial neural network. J Low-Freq Noise Vib Active Control, 41(1), 182–195. https://doi.org/10.1177/14613484211038408
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