Machine learning approach to detect dynamical states from recurrence measures

We integrate machine learning approaches with nonlinear time series analysis, specifically utilizing recurrence measures to classify various dynamical states emerging from time series. We implement three machine learning algorithms: Logistic Regression, Random Forest, and Support Vector Machine for...

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Veröffentlicht in:	Chaos (Woodbury, N.Y.) N.Y.), 2024-04, Vol.34 (4)
Hauptverfasser:	Thakur, Dheeraja, Mohan, Athul, Ambika, G., Meena, Chandrakala
Format:	Artikel
Sprache:	eng
Schlagworte:	Algorithms Classification Discrete systems Dynamical systems Light curve Machine learning Nonlinear systems Support vector machines Synthetic data Time series Variable stars
Online-Zugang:	Volltext
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