arXiv:2312.09766
공식 코드 · Papers with Code
Celestial Machine Learning: From Data to Mars and Beyond with AI Feynman
원문 초록
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.
함께 살펴볼 논문
공통 태그를 근거로 연결했습니다. 실제 인용 관계나 논문의 우수성을 뜻하지 않습니다.
Sparse Interpretable Deep Learning with LIES Networks for Symbolic Regression
Interpretable Non-linear Survival Analysis with Evolutionary Symbolic Regression
Discovering Partially Known Ordinary Differential Equations: a Case Study on the Chemical Kinetics of Cellulose Degradation
Enhancing Symbolic Regression with Quality-Diversity and Physics-Inspired Constraints
Neural Network-Guided Symbolic Regression for Interpretable Descriptor Discovery in Perovskite Catalysts
DrSR: LLM based Scientific Equation Discovery with Dual Reasoning from Data and Experience
토론
이 논문과 연결된 포럼 글이 아직 없습니다.