Results 251 to 260 of about 3,221,773 (299)

Random dynamical models from time series

Physical Review E, 2012
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. The feasibility of this approach for both creating models adequately reproducing the observed stationary regime of system evolution, and predicting changes in qualitative ...
Y I, Molkov, E M, Loskutov, D N, Mukhin, A M, Feigin   +3 more
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Molecular Dynamics Simulation of nCB series

AIP Conference Proceedings, 2007
This study describes the molecular dynamics (MD) simulations of the 4‐n‐alkyl‐4′‐cyanobiphenyl (nCB, n=5–9) liquid crystal homologous series at a selected temperature in the nematic phase. The order parameters and the biaxialities for five mesogens were found to be reasonable agreement with experiments.
Cebe, E., Capar, M. Ilk
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Weighted Dynamic Time Warping for Time Series

International Journal of Bifurcation and Chaos, 2023
Recurrence network is a typical time series analysis method. However, irregular sampling may overshadow the dynamic features characterized by traditional recurrence network method, which makes the method ineffective. This paper introduces dynamic time warping method to determine the distance between time series segments.
Guangyu Yang, Shuyan Xia
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Generalized series dynamic imaging

Proceedings International Workshop on Medical Imaging and Augmented Reality, 2002
Many imaging applications require the acquisition of a time series of images. In conventional Fourier transform-based imaging methods, each of these images is acquired independently. As a result, the temporal resolution possible is limited by the number of data points collected for each data set, or one often was to sacrifice spatial resolution for ...
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Dynamical Realizations of Finite Volterra Series

SIAM Journal on Control and Optimization, 1980
In this paper, realizations of finite Volterra series are viewed as nonlinear analytic input–output systems, with state space described by an analytic manifold. For a minimal realization guaranteed by H. J. Sussmann, the state space, which is unique up to diffeomorphism, is shown to have the homogeneous space structure of a nilmanifold, the quotient of
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Dynamics from multivariate time series

Physica D: Nonlinear Phenomena, 1998
zbMATH Open Web Interface contents unavailable due to conflicting licenses.
Cao, Lianguye, Mees, Alistair, Judd, Kevin   +2 more
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Minimum cost dynamic flows: The series-parallel case

Networks, 1995
AbstractA dynamic network consists of a directed graph with capacities, costs, and integral transit times on the arcs. In the minimum‐cost dynamic flow problem (MCDFP), the goal is to compute, for a given dynamic network with source s, sink t, and two integers v and T, a feasible dynamic flow from s to t of value v, obeying the time bound T, and having
Klinz, Bettina, Woeginger, Gerhard
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Time Series and Dynamic Models

2004
Abstract This chapter treats the modelling of variables that are observed sequentially over time. The main focus is on univariate time series models for a single economic variable, but we also discuss regression models with lags and multivariate time series models.
Christiaan Heij, Paul de Boer, Philip Hans Franses, Teun Kloek, Herman K van Dijk   +4 more
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Dynamics extraction in multivariate biomedical time series

Biological Cybernetics, 1998
A nonlinear analysis of the underlying dynamics of a biomedical time series is proposed by means of a multi-dimensional testing of nonlinear Markovian hypotheses in the observed time series. The observed dynamics of the original N-dimensional biomedical time series is tested against a hierarchy of null hypotheses corresponding to N-dimensional ...
Silipo, R., Deco, G., Vergassola, R., Bartsch, H.   +3 more
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Side-chain dynamics analysis of KE07 series

Computational Biology and Chemistry, 2016
The significant improvement of KE07 series in catalytic activities shows the great success of computational design approaches combined with directed evolution in protein design. Understanding the protein dynamics in the evolutionary optimization process of computationally designed enzyme will provide profound implication to study enzyme function and ...
Xin, Geng, Jiaogen, Zhou, Jihong, Guan
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