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A Hybrid Method Using HAVOK Analysis and Machine Learning for Predicting Chaotic Time Series
The prediction of chaotic time series systems has remained a challenging problem in recent decades. A hybrid method using Hankel Alternative View Of Koopman (HAVOK) analysis and machine learning (HAVOK-ML) is developed to predict chaotic time series. HAVOK-ML simulates the time series by reconstruct...
Autores principales: | , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
MDPI
2022
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8947207/ https://www.ncbi.nlm.nih.gov/pubmed/35327919 http://dx.doi.org/10.3390/e24030408 |