00700naa#a2200217#i#4500001001500000005001700015011001400032100004100046101000800087102000700095200016800102210007200270215001000342608002700352700001700379700001800396700001800414700002000432700001800452856001200470EN\\bibl\4649520240419204513.5##a1681-1208##a20191225b2019####ek#y0engy0150####ca0#aENG##aRU1#aStrong earthquake-prone areas recognition based on the algorithm with a single pure training class. II. Caucasus, M   ≥ 6.0. Variable EPA methodeJournal article1#aMoscowcGeophysical Center of the Russian Academy of Sciencesd2019##a0 с.##aJournal article2local#1aDzeboevgB A#1aSolovievgA A#1aDzeranovgB V#1aKarapetyangJ K#1aSergeevagN A4#arjes.ru