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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. Rakhimova, N. Umaralievb, M. L. Jalilova, A. U. Makhsudovc

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.



© Steklov Math. Inst. of RAS, 2024