RUSSIAN JOURNAL OF EARTH SCIENCES, VOL. 19, ES6005, doi:10.2205/2019ES000691, 2019
Figure 2. Recognition of high-seismicity zones ($M \geq 6.0$) in the Caucasus using the "Barrier-3" algorithm: a) the average contribution 11 geological and geophysical characteristics used in recognition; b) the contribution of the characteristics, expressed through their hit in the triples of the "strongest" characteristics.
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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