STRONG EARTHQUAKE-PRONE AREAS RECOGNITION BASED ON THE ALGORITHM WITH A SINGLE PURE TRAINING CLASS. II. CAUCASUS, M $ \geq $ 6.0. VARIABLE EPA METHOD
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| dc.contributor.author | Dzeboev B.A. | |
| dc.contributor.author | Soloviev A.A. | |
| dc.contributor.author | Dzeranov B.V. | |
| dc.contributor.author | Karapetyan J.K. | |
| dc.contributor.author | Sergeeva N.A. | |
| dc.date.accessioned | 2020-08-21T06:28:50Z | |
| dc.date.available | 2020-08-21T06:28:50Z | |
| dc.date.issued | 2019 | |
| dc.identifier | https://cyberleninka.ru/article/n/strong-earthquake-prone-areas-recognition-based-on-the-algorithm-with-a-single-pure-training-class-ii-caucasus-m-geq-6-0-variable-epa-method | |
| dc.identifier | Федеральное государственное бюджетное учреждение науки Геофизический центр Российской академии наук | |
| dc.identifier.citation | Russian Journal of Earth Sciences, 2019, 19, 6 | |
| dc.identifier.uri | https://repository.geologyscience.ru/handle/123456789/17566 | |
| dc.description.abstract | Strong earthquake-prone areas recognition (𝑀≥6.0) in the Caucasus is performed by means of the new “Barrier-3” pattern recognition algorithm. The obtained result is compared with potentially high seismicity zones recognized previously using the “Cora-3” pattern recognition algorithm. It is proposed to define an interpretation of the integral recognition result by the “Barrier-3” and “Cora-3” algorithms as a fuzzy set of recognition objects in the vicinity of which strong earthquakes may occur in the Caucasus. | |
| dc.publisher | Федеральное государственное бюджетное учреждение науки Геофизический центр Российской академии наук | |
| dc.subject | EARTHQUAKE-PRONE AREAS RECOGNITION | |
| dc.subject | EPA | |
| dc.subject | CORA-3 | |
| dc.subject | BARRIER-3 | |
| dc.subject | CAUCASUS | |
| dc.subject | SEISMIC HAZARD ASSESSMENT | |
| dc.subject | FUZZY SET | |
| dc.title | STRONG EARTHQUAKE-PRONE AREAS RECOGNITION BASED ON THE ALGORITHM WITH A SINGLE PURE TRAINING CLASS. II. CAUCASUS, M $ \geq $ 6.0. VARIABLE EPA METHOD | |
| dc.type | text | |
| dc.type | Article |
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