AI Feynman
A Physics-Inspired Method for Symbolic Regression
Paper title AI Feynman: a Physics-Inspired Method for Symbolic Regression
Paper arXiv 1905.11481PDF
The algorithm looks for a formula that fits a table of data. It first fits a neural network to the data, uses the network to test for symmetries and separability, and so splits the problem into smaller ones with fewer variables. It combines this with dimensional analysis, polynomial fits and brute-force search.
- Published
- Science Advances
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