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Integrating Machine Learning for Planetary Science: Perspectives for the Next Decade
Integrating Machine Learning for Planetary Science: Perspectives for the Next Decade
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AI
PHY
started by
Marion Nachon
on 06 Oct 20
#1
Marion Nachon
on 06 Oct 20
https://arxiv.org/abs/2007.15129
https://arxiv.org/abs/2007.15129
...
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#2
Marion Nachon
on 06 Oct 20
Note:
they do cite
A. Mereta, D. Izzo, and A. Wittig, "Machine learning of optimal low-thrust transfers between near-Earth objects", 2017
and
D. Izzo, C. I. Sprague, and D. V. Tailor, "Machine learning and evolutionary techniques in interplanetarytrajectory design", 2019.
Note:
they do cite
A. Mereta, D. Izzo, and A. Wittig, "Machine learning of optimal low-thrust transfers between near-Earth objects", 2017
and
D. Izzo, C. I. Sprague, and D. V. Tailor, "Machine learning and evolutionary techniques in interplanetarytrajectory design", 2019.
...
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#3
darioizzo2
on 06 Oct 20
Hey!
We also have an added review paper on ML/AI and G&C ->
https://link.springer.com/article/10.1007/s42064-018-0053-6
, weird they found those other papers instead ... I guess the keyword machine learning was key to them ...
We should also organize some ML competition on planetary science data, would be cool and is currently missing from our web platforms ... (
https://kelvins.esa.int/
, etc..)
Hey!
We also have an added review paper on ML/AI and G&C ->
https://link.springer.com/article/10.1007/s42064-018-0053-6
, weird they found those other papers instead ... I guess the keyword machine learning was key to them ...
We should also organize some ML competition on planetary science data, would be cool and is currently missing from our web platforms ... (
https://kelvins.esa.int/
, etc..)
...
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they do cite
A. Mereta, D. Izzo, and A. Wittig, "Machine learning of optimal low-thrust transfers between near-Earth objects", 2017
and
D. Izzo, C. I. Sprague, and D. V. Tailor, "Machine learning and evolutionary techniques in interplanetarytrajectory design", 2019.
We also have an added review paper on ML/AI and G&C -> https://link.springer.com/article/10.1007/s42064-018-0053-6, weird they found those other papers instead ... I guess the keyword machine learning was key to them ...
We should also organize some ML competition on planetary science data, would be cool and is currently missing from our web platforms ... (https://kelvins.esa.int/, etc..)