RUS
ENG
Full version
JOURNALS
// Computational nanotechnology
// Archive
Comp. nanotechnol.,
2018
Issue 2,
Pages
40–45
(Mi cn184)
05.13.18 MATHEMATICAL MODELING, NUMERICAL METHODS AND COMPLEXES PROGRAMS
Regressions models for forecasting of earthquakes
R. Kh. Rakhimov
a
,
N. Umaraliev
b
,
M. L. Jalilov
a
,
A. U. Makhsudov
c
a
Institute of materials science, «Physics-sun» of Uzbekistan Academy of sciences
b
Fergana branch of the Tashkent University of Information Technologies named after Muhammad Al-Khorazmiy
c
Physico-Technical Institute «Physics-Sun» of Academy of Sciences of Uzbekistan
Abstract:
Some modern methods of forecasting earthquakes are considered in the article. Regression forecast models based on measurements of changes in the intensity of low-energy charged particle fluxes produced in the earth's crust are proposed.
Keywords:
variation, detector, charged particles, magnitude, epicenter, earthquake, time.
Fulltext:
PDF file (13280 kB)
©
Steklov Math. Inst. of RAS
, 2024