DOE OSTI · code-34501
Deep Symbolic Regression
Abstract
Symbolic regression is the task of finding tractable mathematical expressions that best fit an input dataset. Deep symbolic regression (DSR) searches the space of tractable mathematical expressions by using a recurrent neural network that generates mathematical expressions. The network is trained using reinforcement learning.
Keep this discovery
Explore connections, maps & timelines
Petersen, BrendenK, Larma, MikelL, Mundhenk, TerrellN, Kim, Sookyung, Kim, JoanneT, Santiago, ClaudioP. 2019-12-10. Deep Symbolic Regression. https://doi.org/10.11578/dc.20200220.1
Cite the original work for its findings. Save a collection to share your selection of sources.