Earthquake fatality prediction based on hybrid feature importance assessment: a case study in Yunnan Province, China
Author:
Publisher
Springer Science and Business Media LLC
Subject
Earth and Planetary Sciences (miscellaneous),Atmospheric Science,Water Science and Technology
Link
https://link.springer.com/content/pdf/10.1007/s11069-023-05812-6.pdf
Reference45 articles.
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3. Biglari M, Formisano A (2022) Urban seismic scenario-based risk analysis using empirical fragility curves for kerend-e-gharb after mw 7.3, 2017 Iran earthquake. Bull Earthq Eng 20(12):6487–6503. https://doi.org/10.1007/s10518-022-01454-4
4. Chang D, Wang Y, Fan R (2022) Forecast of large earthquake emergency supplies demand based on pso-bp neural network. Tehnicki Vjesnik-Technical Gazette 29(2):561–571. https://doi.org/10.17559/Tv-20211120092137
5. Chen QF, Mi HL, Huang J (2005) A simplified approach to earthquake risk in mainland china. Pure Appl Geophys 162(6–7):1255–1269. https://doi.org/10.1007/s00024-004-2668-1
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