Zobrazeno 1 - 6
of 6
pro vyhledávání: '"I. O. Belov"'
Publikováno v:
Journal of Volcanology and Seismology. 15:73-79
The article is devoted to earthquake-prone areas recognition with M ≥ 6.0 in the Caucasus and in the Altai–Sayan–Baikal region. A new approach to the classification of intersections of morphostructural lineaments using the definition of a fuzzy
Publikováno v:
Izvestiya, Physics of the Solid Earth. 55:563-575
A new version of the Barrier algorithm is proposed for recognition of strong-earthquake prone regions based on training over a single reliable training class. The modification of the algorithm consists in creating blocks that reveal the geological–
Publikováno v:
Izvestiya, Physics of the Solid Earth. 54:406-414
This paper continues the series of our works on recognizing the areas prone to the strongest, strong, and significant earthquakes in different mountain countries with the use of the algorithmic Formalized Clustering And Zoning (FCAZ) system. In the p
Publikováno v:
Doklady Earth Sciences. 477:1488-1493
This report continues a series of works by the authors on earthquake-prone areas recognition by the algorithmic system FCAZ. For the first time, successive earthquake-prone areas recognition for several magnitude thresholds in the same seismic region
Publikováno v:
Doklady Earth Sciences. 474:546-551
This article presents a new Barrier recognition algorithm with learning, designed for recognition of earthquake-prone areas. In comparison to the Crust (Kora) algorithm, used by the classical EPA approach, the Barrier algorithm proceeds with learning
Autor:
V. P. Abramov, A. D. Nishcheryakov, P. N. Ivanov, I. O. Belov, I. N. Keitel'gisser, Yu. M. Rabinovich, Yu. V. Gutin
Publikováno v:
Chemical and Petroleum Engineering. 19:463-465
This article describes the new band filters Lskh 15-1.5u and Lskh 30-1.5u, which are used for treating flotation tailings and slurries at coal preparation plants. The filters have a high unit surface of filtration and low material and power consumpti