Celestial Machine Learning: From Data to Mars and Beyond with AI Feynman

• URL: http://arxiv.org/abs/2312.09766v1
• Date: Fri, 15 Dec 2023 13:12:49 GMT
• Title: Celestial Machine Learning: From Data to Mars and Beyond with AI Feynman
• Authors: Zi-Yu Khoo, Abel Yang, Jonathan Sze Choong Low, St\'ephane Bressan
• Abstract summary: Can a machine or algorithm discover or learn Kepler's first law from astronomical sightings alone? We emulate Johannes Kepler's discovery of the equation of the orbit of Mars with the Rudolphine tables using AI Feynman, a physics-inspired tool for symbolic regression.
• Score: 0.0
• License: http://creativecommons.org/licenses/by/4.0/
• Abstract: Can a machine or algorithm discover or learn Kepler's first law from astronomical sightings alone? We emulate Johannes Kepler's discovery of the equation of the orbit of Mars with the Rudolphine tables using AI Feynman, a physics-inspired tool for symbolic regression.

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