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June 5, 2026
Neural Network Maps as a Method for Constructing Mathematical Models
Scientists from HSE University–Nizhny Novgorod and the Institute of Physics Belgrade, Serbia, are jointly exploring the application of machine learning techniques and neural networks to the study of nonlinear dynamics. Natalya Stankevich, Leading Research Fellow at the Laboratory of Topological Methods in Dynamics of the Faculty of Informatics, Mathematics, and Computer Science at HSE University–Nizhny Novgorod, spoke to the HSE News Service about this international project.
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О реализации линеаризующего компенсатора для модели Гаммарштейна

С. 266–268.
Akhmetsafina R.
Language: Russian
Keywords: компенсаторМодель Гаммарштейна

In book

Информационные управляющие системы и технологии (ИУСТ-ОДЕССА-2013). Материалы Международной научно-практической конференции, 8-10 октября 2013 г.
Н. Новгород: Издательство ФГОУ ВПО "ВГАВТ", 2013.
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We consider the set $\Lambda$ of all edge joint distributions $\Law ([X_a, A_a], [X_b, A_b])$ at the moments $t =a$ and $t = b$ of integrable increasing processes $(X_t)_{t\in [a; b]}$ and their compensators $(A_t)_{t\in [a; b]}$, which start from an arbitrary integrable initial condition $[X_a, A_a]$. The convexity and closure of the set $\Lambda$ in ...
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In the article [Theory of Probability & Its Applications 62(2) (2018), 216–235], a class W of terminal joint distributions of integrable increasing processes and their compensators was introduced. In this paper, it is shown that the discrete distributions lying in W form a dense subset in the set W for ψ-weak topology with a gauge function ψ of linear growth. ...
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Added: February 17, 2014
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