Results 251 to 260 of about 339,262 (287)
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Nonlinear Dynamics in Optical Systems, 1990
The techniques of prediction and modeling using a neural network algorithm, preceded by application of noise reduction methods, are shown to be applicable to time series associated with nonlinear dynamical optical systems. The time series generated from a generic dynamical model is used to train a backpropagation, feed forward neural network which is ...
C. M. Bowden +3 more
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The techniques of prediction and modeling using a neural network algorithm, preceded by application of noise reduction methods, are shown to be applicable to time series associated with nonlinear dynamical optical systems. The time series generated from a generic dynamical model is used to train a backpropagation, feed forward neural network which is ...
C. M. Bowden +3 more
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A Modular Approach for The Diagnostic Analysis of Dynamic Systems Using Time Series Models
IFAC Proceedings Volumes, 1982Abstract In many dynamic systems such as aircrafts, space vehicles, nuclear power plants and magnetohydrodynamic generators, it is often necessary to determine the cause of fluctuations in a primary variable as a function of dynamic inputs to the system and other process variables. The timely detection of the source of anomaly in the system is useful
B.R. Upadhyaya, M. Skorska
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Hegemony, Long Waves, and Major Wars: A Time Series Analysis of Systemic Dynamics, 1496-1967
International Studies Quarterly, 1991In both systemic and realist theories, hegemons are expected to deter major intra-core wars that would upset their favored position in the status quo. Yet the conceptions, measures, and units of analysis for hegemony differ within and between the theoretical perspectives.
Terry Boswell, Mike Sweat
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IEEE Transactions on Systems, Man, and Cybernetics, 1982
In many dynamic systems such as aircraft, space vehicles, nuclear power plants, and magnetohydrodynamic (MHD) generators, it is often necessary to determine the cause of fluctuations in a primary variable as a function of dynamic inputs to the system and other process variables.
Belle R. Upadhyaya, Malgorzata Skorska
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In many dynamic systems such as aircraft, space vehicles, nuclear power plants, and magnetohydrodynamic (MHD) generators, it is often necessary to determine the cause of fluctuations in a primary variable as a function of dynamic inputs to the system and other process variables.
Belle R. Upadhyaya, Malgorzata Skorska
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Topological data analysis approach to time series and shape analysis of dynamical system
Chaos: An Interdisciplinary Journal of Nonlinear ScienceIn a dynamical system, the time series and phase space play vital roles, and we applied topological data analysis to these characteristics. More precisely, we consider the well-known Rössler-like attractor to analyze time-series and phase-space images. We studied persistent homology representations directly from the time series of the system to obtain ...
W. Hussain Shah +5 more
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Journal of Applied Statistics, 2013
We investigate the power-law scaling behaviors of returns for a financial price process which is developed by the voter interacting dynamic system in comparison with the real financial market index (Shanghai Composite Index). The voter system is a continuous time Markov process, which originally represents a voter's attitude on a particular topic, that
Hongli Niu, Jun Wang
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We investigate the power-law scaling behaviors of returns for a financial price process which is developed by the voter interacting dynamic system in comparison with the real financial market index (Shanghai Composite Index). The voter system is a continuous time Markov process, which originally represents a voter's attitude on a particular topic, that
Hongli Niu, Jun Wang
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Analytical Sensitivities of Principal Components in Time-Series Analysis of Dynamical Systems
AIAA Journal, 2010original method for calculating the analytical sensitivities of the principal components of dynamical systems is developed. Methods for analytical sensitivity calculations are developed for both the singular-value decomposition and eigenanalysis-based approaches for principal component calculation. Sensitivities with respect to state initial conditions
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2012 International Conference on System Engineering and Technology (ICSET), 2012
Economic crisis that had happened at 1997–1998 in Indonesia has stimulated researchers to study it further by utilizing economic indicators. The economic indicators, GDP (Gross Domestic Product) and inflation per year from 1980–2011, will be tested using time series analysis and system dynamic optimized by genetic algorithm.
Siti Sa'adah +2 more
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Economic crisis that had happened at 1997–1998 in Indonesia has stimulated researchers to study it further by utilizing economic indicators. The economic indicators, GDP (Gross Domestic Product) and inflation per year from 1980–2011, will be tested using time series analysis and system dynamic optimized by genetic algorithm.
Siti Sa'adah +2 more
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Autonomic Neuroscience, 2001
Testing the hypothesis that alterations in non-linear dynamics of the cardiovascular variability appear in healthy, awake subjects during voluntary apnea.Ten young subjects performed 20 apneas 60 s each separated by 1 min free breathing. Inter-beat interval (IBI) measured as RR-interval in ECG, systolic (SYS) and diastolic (DIAS) arterial blood ...
A, Trzebski, M, Smietanowski
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Testing the hypothesis that alterations in non-linear dynamics of the cardiovascular variability appear in healthy, awake subjects during voluntary apnea.Ten young subjects performed 20 apneas 60 s each separated by 1 min free breathing. Inter-beat interval (IBI) measured as RR-interval in ECG, systolic (SYS) and diastolic (DIAS) arterial blood ...
A, Trzebski, M, Smietanowski
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Journal of Geophysical Research: Solid Earth, 2009
Water‐, mud‐, gas‐, and petroleum‐bearing seeps are part of the Salton Sea geothermal system (SSGS) in southern California. Carbon dioxide is the main component behind the seeps in the Davis‐Schrimpf seep field (∼20,000 m2). In order to understand the mechanisms driving the system, we have investigated the seep dynamics of the field by monitoring the ...
Henrik Svensen +6 more
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Water‐, mud‐, gas‐, and petroleum‐bearing seeps are part of the Salton Sea geothermal system (SSGS) in southern California. Carbon dioxide is the main component behind the seeps in the Davis‐Schrimpf seep field (∼20,000 m2). In order to understand the mechanisms driving the system, we have investigated the seep dynamics of the field by monitoring the ...
Henrik Svensen +6 more
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