REGRESSIONS MODELS FOR FORECASTING OF EARTHQUAKES
( Pp. 40-45)

More about authors
Rakhimov Rustam Kh. Dr. Sci. (Eng.); Head at the Laboratory No. 1
Institute of Materials Science of the SPA “Physics-Sun” of the Academy of Sciences of the Republic of Uzbekistan
Tashkent, Republic of Uzbekistan Umaraliev Nurmamat kand. tehn. nauk, docent kafedry «Telekommunikacionnyy inzhiniring»
Ferghana Branch Tashkent University Information Technology (FBTUIT) Maksudov Asad Urmanovich st. nauchn. sotr.
Physico-Technical Institute «Physics-Sun» of Academy of Sciences of Uzbekistan Djalilov Mamatisa L. Cand. Sci. (Eng.); Head at the Department “Computer Systems”
Fergana branch of the Tashkent University of Information Technologies named after Muhammad Al-Khorazmiy
Fergana, Republic of Uzbekistan
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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.
How to Cite:
Rakhimov R.K., Umaraliev N.., Maksudov A.U., Djalilov M.L., (2018), REGRESSIONS MODELS FOR FORECASTING OF EARTHQUAKES. Computational Nanotechnology, 2 => 40-45.
Reference list:
Maksudov A.U., SHayakubov D.B. i dr. Ustanovka dlya registratsii predvestnikov zemletryaseniy // Pribory i tekhnika eksperimenta, 2015. № 1. S. 131-132.
Makhsudov A.U., Lutpullaev S.L., Nuritdinov KH., SHayakubov D.B. Patent na poleznuyu model Ustroystvo dlya registratsii predvestnikov zemletryaseniy № FAP 01088, 04.02.15 g. Zareg. v Gos. reestre poleznykh modeley Respubliki Uzbekistan, v g. Tashkente 24.03.16 g.
Maksudov A.U. Monitoring seysmicheskikh predvestnikov dlya prognoza zemletryaseniy // Computational nanotechnology, 2016. № 1. S. 52, 61.
Makhsudov A.U., Umaraliev N., Dzhalilov M.L., ZH raev N.M. Informatsionno-izmeritel naya sistema dlya avtomatizatsii registratsii parametrov predvestnikov zemletryaseniya // Informatsionno-kommunikatsionnye tekhnologii i prikladnye zadachi tsifrovogo modelirovaniya. Sb. mat. Respubl. nauchno-tekhn. konf. Samarkandskiy filial TUIT im. Mukhammada Al-KHorazmiy. 2017 g. 8-9 sentyabrya.
Keywords:
variation, detector, charged particles, the magnitude, the epicenter, time, earthquake.


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