Symbolic Regression

Symbolic Regression is a technique that derives mathematical expressions from given data tables, aiming to find the optimal combination of symbols to fit the data and uncover potential relationships between variables. This technology not only generates concise models but also enhances prediction accuracy and interpretability, making it valuable in fields such as scientific discovery, engineering optimization, and data analysis.