Задача выявления и оценки параметров взаимодействия между источниками сложных
(хаотических) колебаний по временным рядам экспериментально наблюдаемых …

OBJECTIVE: The investigation of nonstationarity in complex, multivariable signals, such as
electroencephalographic (EEG) recordings, requires the application of different and novel …

In this work we formulate a consistent Bayesian approach to modeling stochastic (random)
dynamical systems by time series and implement it by means of artificial neural networks …

Some recent papers were concerned with applicability of the Bayesian (statistical) approach
to reconstruction of dynamic systems (DS) from experimental data. A significant merit of the …

An approach to prognosis of qualitative behavior of an unknown dynamical system (DS)
from weakly nonstationary chaotic time series (TS) containing significant measurement …

The stationary behavior of ionic reaction–transport systems contained in hydrogel located
between two reservoirs of electrolytes is investigated. The effects of the applied voltage, the …

The integration of the photochemical system of the upper mesosphere/mesopause region
brought evidence that the system is able to respond in a nonlinear manner under certain …

The importance of the investigation of nonlinear dynamical properties (NDPs) of the
atmospheric photochemical systems (PCSs) was demonstrated in and (AM Feigin and IB …

Experimental Data Orexinergic neurotransmission is involved in mediating temperature
responses to methamphetamine (Meth). In experiments in rats, SB-334867 (SB), an …

In this work, we propose a new data-driven method for modeling cross-interacting processes
with different time scales represented by time series with different sampling steps. It is a …