GA-BPNN Prediction Model of Broadband Ground Motion Parameters in Tianjin Area Driven by Synthetic Database Based on Hybrid Simulated Method
Author:
Funder
National Natural Science Foundation of China
Publisher
Springer Science and Business Media LLC
Link
https://link.springer.com/content/pdf/10.1007/s00024-024-03431-1.pdf
Reference57 articles.
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2. Ahmad, I., El Naggar, M. H., & Khan, A. N. (2008). Neural network based attenuation of strong motion peaks in Europe. Journal of Earthquake Engineering, 12(5), 663–680. https://doi.org/10.1080/13632460701758570
3. Akhani, M., Kashani, A. R., Mousavi, M., & Gandomi, A. H. (2019). A hybrid computational intelligence approach to predict spectral acceleration. Measurement, 138, 578–589. https://doi.org/10.1016/j.measurement.2019.02.054
4. Akinci, A., Aochi, H., Herrero, A., Pischiutta, M., & Karanikas, D. (2017). Physics-based broadband ground-motion simulations for probable Mw ≥ 7.0 earthquakes in the Marmara Sea region (Turkey). Bulletin of the Seismological Society of America, 107(3), 1307–1323. https://doi.org/10.1785/0120160096
5. Anderson, J. G. (1997). Nonparametric description of peak acceleration above a subduction thrust. Seismological Research Letters, 68(1), 86–93. https://doi.org/10.1785/gssrl.68.1.86
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