Visual Recurrence Analysis (VRA) is a software package for topological analysis, qualitative and quantitative assessment, and nonparametric prediction of nonlinear and chaotic time series. Features pattern and determinism recognition in the time series using recurrence plot, which is essentially a graphical representation of the correlation integral in such a way so that the temporal dependence in the system under study is preserved
Keywords for this software
References in zbMATH (referenced in 2 articles )
Showing results 1 to 2 of 2.
- Tykierko, Mateusz: Using invariants to change detection in dynamical system with chaos (2008)
- Panella, Massimo; Rizzi, Antonello; Mascioli, Fabio Massimo Frattale; Martinelli, Giuseppe: A neuro-fuzzy system for the prediction of the vehicle traffic flow (2006)