Skip to content

Some applications of genetic programming-based symbolic regression (GPSR) in materials science.

Notifications You must be signed in to change notification settings

raymond-yiqunwang/Symbolic_Regression_GP

Folders and files

NameName
Last commit message
Last commit date

Latest commit

 

History

17 Commits
 
 
 
 
 
 
 
 

Repository files navigation

Symbolic regression with genetic programming (GPSR)

Some applications of genetic programming-based symbolic regression (GPSR) in materials science.

Please refer to this paper for detailed introductions.

Please cite the following work if you find it interesting.

@article{wang2019symbolic,
  title={Symbolic regression in materials science},
  author={Wang, Yiqun and Wagner, Nicholas and Rondinelli, James M},
  journal={MRS Communications},
  volume={9},
  number={3},
  pages={793--805},
  year={2019},
  publisher={Cambridge University Press}
}

About

Some applications of genetic programming-based symbolic regression (GPSR) in materials science.

Resources

Stars

Watchers

Forks

Releases

No releases published

Packages

No packages published