Toward Constraining Mars' Thermal Evolution Using Machine Learning
Author:
Affiliation:
1. Planetary Physics Institute of Planetary Research German Aerospace Center (DLR) Berlin Germany
2. Electrical Engineering and Computer Science Berlin Institute of Technology Berlin Germany
Publisher
American Geophysical Union (AGU)
Subject
General Earth and Planetary Sciences,Environmental Science (miscellaneous)
Link
https://onlinelibrary.wiley.com/doi/pdf/10.1029/2020EA001484
Reference69 articles.
1. A machine-learning-based surrogate model of Mars’ thermal evolution
2. Using pattern recognition to infer parameters governing mantle convection
3. On Pixel-Wise Explanations for Non-Linear Classifier Decisions by Layer-Wise Relevance Propagation
4. Initial results from the InSight mission on Mars
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