Can Short and Partial Observations Reduce Model Error and Facilitate Machine Learning Prediction?

Can Short and Partial Observations Reduce Model Error and Facilitate Machine Learning Prediction?

Predicting complex nonlinear turbulent dynamical systems is an important and practical topic. However, due to the lack of a complete understanding of nature, the ubiquitous model error may greatly affect the prediction performance. Machine learning algorithms can overcome the model error, but they a...

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Bibliographic Details
Main Author: Nan Chen
Format: Article
Language:English
Published: MDPI AG 2020-09-01
Series:Entropy
Subjects:
model error
short and partial observations
data assimilation
conditional sampling
machine learning
non-Gaussian systems
Online Access:https://www.mdpi.com/1099-4300/22/10/1075

Internet

https://www.mdpi.com/1099-4300/22/10/1075

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