RUSSIAN JOURNAL OF EARTH SCIENCES, VOL. 19, ES6005, doi:10.2205/2019ES000691, 2019
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Strong earthquake-prone areas recognition based on the algorithm with a single pure training class. II. Caucasus, $M \geq $ 6.0. Variable EPA method
Figures
- Figure 1. Scheme of morphostructural zoning (thick lines –...
- Figure 2. Recognition of high-seismicity zones ($M \geq 6.0$) in the Caucasus...
- Figure 3. Presentation of integral recognition results of earthquake-prone...
Tables
- Table 1. Earthquakes with $M \geq 6.0$ in the Caucasus ...
- Table 2. The Initial List of Geological-Geophysical and Geomorphological...
- Table 3. Earthquakes With $M \geq 6.0$ in the Caucasus Since 1993
Citation: Dzeboev B. A., A. A. Soloviev, B. V. Dzeranov, J. K. Karapetyan, N. A. Sergeeva (2019), Strong earthquake-prone areas recognition based on the algorithm with a single pure training class. II. Caucasus, $M \geq $ 6.0. Variable EPA method, Russ. J. Earth Sci., 19, ES6005, doi:10.2205/2019ES000691.
Copyright 2019 by the Geophysical Center RAS.
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