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AI Feynman: A Physics-Inspired Method for Symbolic Regression

12 days ago
https://arxiv.org/abs/1905.11481
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  • #computational physics
  • #artificial intelligence
  • #symbolic regression
  • AI Feynman is a physics-inspired method for symbolic regression.
  • The algorithm combines neural network fitting with physics-inspired techniques.
  • It successfully discovers 100 equations from the Feynman Lectures on Physics.
  • Previous software could only solve 71 of these equations.
  • For a more difficult test set, the success rate improved from 15% to 90%.
  • The method is recursive and multidimensional.
  • The paper was submitted on 27 May 2019 and revised on 15 Apr 2020.
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