Early warning for critical transitions using machine-based predictability
Detecting critical transitions before they occur is challenging, especially for complex dynamical systems. While some early-warning indicators have been suggested to capture the phenomenon of slowing down in the system's response near critical transitions, their applicability to real systems is...
Main Authors: | , |
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Format: | Article |
Language: | English |
Published: |
AIMS Press
2022-09-01
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Series: | AIMS Mathematics |
Subjects: | |
Online Access: | https://www.aimspress.com/article/doi/10.3934/math.20221112?viewType=HTML |