AI Feynman: A physics-inspired method for symbolic regression
Silviu‐Marian Udrescu, Max Tegmark
Abstract
, and it discovers all of them, while previous publicly available software cracks only 71; for a more difficult physics-based test set, we improve the state-of-the-art success rate from 15 to 90%.
Topics & Concepts
Symbolic regressionFeynman diagramPrinciple of compositionalityArtificial neural networkRegressionSet (abstract data type)Function (biology)Computer scienceThe SymbolicHomogeneous spaceRegression analysisArtificial intelligenceFeynman integralAlgorithmTheoretical computer scienceAlgebra over a fieldMathematicsMachine learningPure mathematicsProgramming languageStatisticsMathematical physicsGeometryBiologyEvolutionary biologyGenetic programmingPsychologyPsychoanalysisEvolutionary Algorithms and ApplicationsMetaheuristic Optimization Algorithms Research