Machine learning-based ground motion models for predicting PSAs of borehole motions in Japan
Author:
Funder
National Research Foundation of Korea
Publisher
Springer Science and Business Media LLC
Link
https://link.springer.com/content/pdf/10.1007/s10950-024-10203-w.pdf
Reference36 articles.
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3. Boob D, Dey SS, Lan G (2022) Complexity of training relu neural network. Discret Optim 44(1):100620. https://doi.org/10.1016/j.disopt.2020.100620
4. Boore DM (2010) Orientation-independent, nongeometric-mean measures of seismic intensity from two horizontal components of motion. Bull Seismol Soc Am 100(4):1830–1835. https://doi.org/10.1785/0120090400
5. Boore DM, Atkinson GM (1989) Spectral scaling of the 1985 to 1988 Nahanni, Northwest Territories, earthquakes. Bull Seismol Soc Am 79(6):1736–1761. https://doi.org/10.1785/BSSA0790061736
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