Results 241 to 250 of about 339,262 (287)

Dynamic forecasting and mechanisms of volatility synchronization in complex financial systems. [PDF]

PLoS One
Li JC, Guo J, Ma R, Zhong G.
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Device-level nonlinearity and temporal memory in optoelectronic reservoir computing. [PDF]

Nano Converg
Lee WW, Cho J, Hur J, Oh H, Yoo H.
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Neuromorphic robust framework for integrated estimation and control in dynamical systems using spiking neural networks. [PDF]

Sci Rep
Ahmadvand R, Sharif SS, Banad YM.
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Active Inference and Functional Parametrisation: Differential Flatness and Smooth Random Realisation. [PDF]

Entropy (Basel)
Mounier H, Parr T, Friston K.
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Effect of a national mental health campaign on population mental resilience in the Netherlands: a retrospective longitudinal cohort analysis using a dynamical systems perspective. [PDF]

Lancet Reg Health Eur
van der Wal JM, Pijpers F, Lunansky G, Lok A, Nicolaou M, Korezelidou A, Stronks K, Bockting CL.   +7 more
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Dynamics of computational waveform: A study of bifurcation, chaos, and sensitivity analysis. [PDF]

PLoS One
Shahen NHM, Amin MA, Foyjonnesa, Rahman MM.   +3 more
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Analysis of chaotic multi-variate time-series from spatio-temporal dynamical systems

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RECONSTRUCTIONS OF ONE-SIDED DYNAMICAL SYSTEMS FROM THE ANALYSIS OF EXPERIMENTAL TIME SERIES (Recent Progress in General Topology and its Related Fields)

RECONSTRUCTIONS OF ONE-SIDED DYNAMICAL SYSTEMS FROM THE ANALYSIS OF EXPERIMENTAL TIME SERIES (Recent Progress in General Topology and its Related Fields)
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Complexity of time series associated to dynamical systems inferred from independent component analysis

Physical Review E, 2005
A not trivial problem for every experimental time series associated to a natural system is to individuate the significant variables to describe the dynamics, i.e., the effective degrees of freedom. The application of independent component analysis (ICA) has provided interesting results in this direction, e.g., in the seismological and atmospheric field.
CIARAMELLA A., DE LAURO, ENZA, DE MARTINO, Salvatore, FALANGA, Mariarosaria, TAGLIAFERRI, Roberto   +4 more
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Wasserstein distances in the analysis of time series and dynamical systems

Physica D: Nonlinear Phenomena, 2011
The concept of transportation distance between attractors in dynamical systems allows one to express how closely the long-term behaviour of two given systems resemble each other. This is a particular example of a Wasserstein distance between probability measures.
Muskulus, Michael, Verduyn Lunel, Sjoerd
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