.png){kind=icon}
.png){kind=icon}
Return
A two-stage symbolic regression method for discovering mathematical formulas
.png){kind=icon}
PRE
AI
DOI：10.1016/j.asoc.2025.114081.png)
.png){kind=icon}
Original request for help.png){kind=icon}
Share.png){kind=icon}
Save
Abstract
En 中文
• A two-stage symbolic regression method is proposed to find mathematical formulas. • A genetic algorithm is used to generate a set of terms with high quality and diversity. • A simulated annealing method is used to select a subset of terms to form an equation. • Reinforcement learning is employed to enhance the performance of the SA method. • Extensive experiments verified the superior performance of the proposed method.
Journal
IF:
6.6
Papers:
1.4W
Citations:
4.8W