On the Optimization of Machine Learning Techniques for Chaotic Time Series Prediction

On the Optimization of Machine Learning Techniques for Chaotic Time Series Prediction

Interest in chaotic time series prediction has grown in recent years due to its multiple applications in fields such as climate and health. In this work, we summarize the contribution of multiple works that use different machine learning (ML) methods to predict chaotic time series. It is highlighted...

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Bibliographic Details
Main Authors: Astrid Maritza González-Zapata, Esteban Tlelo-Cuautle, Israel Cruz-Vega
Format: Article
Language:English
Published: MDPI AG 2022-11-01
Series:Electronics
Subjects:
chaotic system
time series prediction
machine learning
echo state network
recurrent neural network
optimization
Online Access:https://www.mdpi.com/2079-9292/11/21/3612

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