Results 231 to 240 of about 31,033 (265)

Applications of Neural-Network Algorithms to Nonlinear Time Series Analysis of Dynamical Optical Systems

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, C. E. Hall, S. D. Pethel, C. C. Sung   +3 more
openaire   +1 more source

Hegemony, Long Waves, and Major Wars: A Time Series Analysis of Systemic Dynamics, 1496-1967

International Studies Quarterly, 1991
In 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
openaire   +1 more source

Power-law scaling behavior analysis of financial time series model by voter interacting dynamic system

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
openaire   +1 more source

Prediction system of economic crisis in Indonesia using time series analysis and system dynamic optimized by genetic algorithm

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, The Houw Liong, null Adiwijaya   +2 more
openaire   +1 more source

Coupling analysis in time series using information theory and dynamical systems theory

2017
Inferring causality from observations of different entities is central to science. Time series is an important form of observations in subjects ranging from physics, geology and medicine to finance. Although non-experimental observations such as time series measured from geological entities and financial markets are in general never sufficient for ...
openaire   +2 more sources

Time series classification of dynamical systems using deterministic learning

Nonlinear Dynamics, 2023
Weiming Wu, Cong Wang, Wu Weiming
exaly  

Dynamical time series embeddings in recurrent neural networks

Chaos, Solitons and Fractals, 2022
Gonzalo Uribarri, Gabriel B Mindlin
exaly  

Dynamic systems analysis for better hospital bed operation: using time series model.

Medinfo. MEDINFO, 1996
Achieving high efficiency in hospital bed operations becomes an important aim of hospital management, as managerial environment of hospitals has been increasingly competitive in Korea. Many authors have made studies on higher occupancies, but very few about systems characteristics of the time serial data as well as decision behavior on bed operations ...
openaire   +1 more source

Analysis of Linear Time Invariant and Time Varying Dynamic Systems via Taylor Series Using a New Recursive Algorithm

2018
The paper presents a new recursive method using Taylor series to solve the states of time invariant as well as time varying control systems. In traditional approach, the Taylor series had been used by well known operational matrix for integration, whereas this proposition does not follow the same method. This approach is recursive in nature and thereby
openaire   +1 more source

Permutation transition entropy: Measuring the dynamical complexity of financial time series

Chaos, Solitons and Fractals, 2020
Xiaojun Zhao, Pengjian Shang
exaly