Interpretable machine learning (symbolic regression) using Genetic programming/Gene expression programming and Sparse Optimization used to identify physical process, numerical schemes, and LES subgrid ...

Symbolic regression is an advanced computational method to find mathematical equations that best explain a dataset. Unlike traditional regression, which fits data to predefined models, symbolic ...

In Artificial Intelligence, Symbolic Regression has been playing an important role in the subtleties of scientific research. It basically focuses on algorithms that allow machines to interpret ...

Abstract: Symbolic regression is aimed at discovering mathematical expressions, in symbolic form, that fit a given sample of data points. While genetic programming (GP) constitutes a powerful tool for ...

Interpretable machine learning (symbolic regression) using Genetic programming/Gene expression programming and Sparse Optimization used to identify physical process, numerical schemes, and LES subgrid ...