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.
- Developers:
-
Petersen, Brenden [1] ; Larma, Mikel [1] ; Mundhenk, Terrell [1] ; Kim, Sookyung [1] ; Kim, Joanne [1] ; Santiago, Claudio [1]
- Lawrence Livermore National Lab. (LLNL), Livermore, CA (United States)
- Release Date:
- 2019-12-10
- Project Type:
- Open Source, Publicly Available Repository
- Software Type:
- Scientific
- Version:
- 1.0
- Licenses:
-
BSD 3-clause "New" or "Revised" License
- Sponsoring Org.:
-
USDOE National Nuclear Security Administration (NNSA)Primary Award/Contract Number:AC52-07NA27344
- Code ID:
- 34501
- Site Accession Number:
- 1009012
- Research Org.:
- Lawrence Livermore National Laboratory (LLNL), Livermore, CA (United States)
- Country of Origin:
- United States
Citation Formats
Petersen, Brenden K., Larma, Mikel L., Mundhenk, Terrell N., Kim, Sookyung, Kim, Joanne T., and Santiago, Claudio P.
Deep Symbolic Regression.
Computer Software.
https://github.com/brendenpetersen/deep-symbolic-regression.
USDOE National Nuclear Security Administration (NNSA).
10 Dec. 2019.
Web.
doi:10.11578/dc.20200220.1.
Petersen, Brenden K., Larma, Mikel L., Mundhenk, Terrell N., Kim, Sookyung, Kim, Joanne T., & Santiago, Claudio P.
(2019, December 10).
Deep Symbolic Regression.
[Computer software].
https://github.com/brendenpetersen/deep-symbolic-regression.
https://doi.org/10.11578/dc.20200220.1.
Petersen, Brenden K., Larma, Mikel L., Mundhenk, Terrell N., Kim, Sookyung, Kim, Joanne T., and Santiago, Claudio P.
"Deep Symbolic Regression." Computer software.
December 10, 2019.
https://github.com/brendenpetersen/deep-symbolic-regression.
https://doi.org/10.11578/dc.20200220.1.
@misc{
doecode_34501,
title = {Deep Symbolic Regression},
author = {Petersen, Brenden K. and Larma, Mikel L. and Mundhenk, Terrell N. and Kim, Sookyung and Kim, Joanne T. and Santiago, Claudio P.},
abstractNote = {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.},
doi = {10.11578/dc.20200220.1},
url = {https://doi.org/10.11578/dc.20200220.1},
howpublished = {[Computer Software] \url{https://doi.org/10.11578/dc.20200220.1}},
year = {2019},
month = {dec}
}