Machine learning based site amplification prediction models for shallow bedrock sites
Author:
Affiliation:
1. Hanyang University
Publisher
The Japanese Geotechnical Society
Link
https://www.jstage.jst.go.jp/article/jgssp/10/58/10_v10.OS-47-07/_pdf
Reference28 articles.
1. 1) Aaqib, M., Park, D., Adeel, M. B., Hashash, Y. M., and Ilhan, O. (2021): Simulation-based site amplification model for shallow bedrock sites in Korea, Earthquake Spectra, 37(3), 1900-1930.
2. 2) Assimaki, D., Li, W., Steidl, J. H., and Tsuda, K. (2008): Site amplification and attenuation via downhole array seismogram inversion: A comparative study of the 2003 Miyagi-Oki aftershock sequence, Bulletin of the Seismological Society of America, 98(1), 301-330.
3. 3) Breiman, L. (1996): Bagging predictors, Machine learning, 24, 123-140.
4. 4) Castellaro, S., Mulargia, F., and Rossi, P. L. (2008): VS30: Proxy for seismic amplification?, Seismological research letters, 79(4), 540-543.
5. 5) Chiou, B. J. and Youngs, R. R. (2008): An NGA model for the average horizontal component of peak ground motion and response spectra, Earthquake spectra, 24(1), 173-215.
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