Toward a physics-guided machine learning approach for predicting chaotic systems dynamics

Toward a physics-guided machine learning approach for predicting chaotic systems dynamics

Predicting the dynamics of chaotic systems is crucial across various practical domains, including the control of infectious diseases and responses to extreme weather events. Such predictions provide quantitative insights into the future behaviors of these complex systems, thereby guiding the decisio...

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Bibliographic Details
Main Authors: Liu Feng, Yang Liu, Benyun Shi, Jiming Liu
Format: Article
Language:English
Published: Frontiers Media S.A. 2025-01-01
Series:Frontiers in Big Data
Subjects:
physics-guided
data-driven
deep learning
chaotic systems
dynamics prediction
Online Access:https://www.frontiersin.org/articles/10.3389/fdata.2024.1506443/full
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