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Improving orbit prediction accuracy through supervised machine learning
Hao Peng,
Xiaoli Bai
School of Engineering, Mechanical & Aerospace Engineering
Research output
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Contribution to journal
›
Article
›
peer-review
54
Scopus citations
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Dive into the research topics of 'Improving orbit prediction accuracy through supervised machine learning'. Together they form a unique fingerprint.
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Physics & Astronomy
machine learning
100%
orbits
57%
predictions
42%
aerospace environments
27%
learning
24%
learning theory
19%
collision avoidance
19%
physics
14%
test stands
13%
catalogs
11%
education
11%
methodology
9%
time measurement
8%
trajectories
8%
intervals
8%
collisions
7%
simulation
4%
Earth & Environmental Sciences
machine learning
78%
prediction
39%
physics
14%
learning
14%
collision avoidance
13%
collision
7%
trajectory
6%
methodology
5%
simulation
3%
modeling
3%
test
3%
method
1%
Engineering & Materials Science
Orbits
69%
Machine learning
57%
Physics
22%
Collision avoidance
13%
Satellites
10%
Trajectories
9%