Evaluation of Geometric Attractor Structure and Recurrence Analysis in Professional Dancers
M Błażkiewicz - Entropy, 2022 - mdpi.com
Background: Human motor systems contain nonlinear features. The purpose of this study
was to evaluate the geometric structure of attractors and analyze recurrence in two different …
was to evaluate the geometric structure of attractors and analyze recurrence in two different …
Complex network-based multistep forecasting model for hyperchaotic time series
DA Thumba, K Asokan, TKM Kumar, TR Ramamohan… - Physical Review E, 2024 - APS
We present a method for predicting hyperchaotic time series using a complex network-
based forecasting model. We first construct a network from a given time series, which serves …
based forecasting model. We first construct a network from a given time series, which serves …
Non-stationary temporal-spatio correlation analysis of information-driven complex financial dynamics
J Zhang, B Zheng, L Jin, Y Li, X Jiang - Chinese Journal of Physics, 2024 - Elsevier
The explosion of information production provides a new perspective on investigating
complex dynamic systems such as the financial markets. With large-scale historical data, a …
complex dynamic systems such as the financial markets. With large-scale historical data, a …
Generalized Symbolic Dynamics Weighted Network Prediction of Chaotic Time Series
Chaotic systems are sensitive to initial conditions. The exponential divergence of nearby
trajectories limits the accuracy of the long-term prediction of a chaotic time series. Because …
trajectories limits the accuracy of the long-term prediction of a chaotic time series. Because …