Machine learning methods trained on simple models can predict critical transitions in complex natural systems

Forecasting sudden changes in complex systems is a critical but challenging task, with previously developed methods varying widely in their reliability. Here we develop a novel detection method, using simple theoretical models to train a deep neural network to detect critical transitions—the Early W...

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Bibliographic Details
Main Authors: Smita Deb, Sahil Sidheekh, Christopher F. Clements, Narayanan C. Krishnan, Partha S. Dutta
Format: Article
Language:English
Published: The Royal Society 2022-02-01
Series:Royal Society Open Science
Subjects:
Online Access:https://royalsocietypublishing.org/doi/10.1098/rsos.211475