Tag: symbolic regression

A new study in Natural Hazards uses symbolic regression to derive mathematical models that capture the combined impact of flood ...

Researchers developed SymbolFit, a symbolic regression framework that automates parametric function discovery and uncertainty estimation for particle collision analysis at ...

Researchers have demonstrated that machine learning algorithms and symbolic regression can accurately predict the ultimate moment capacity and failure modes ...

A new ensemble and symbolic regression framework judges debris-flow barrier dam stability with 97.5 percent accuracy despite severely incomplete global ...

Researchers built explicit equations from 249 push-out tests that predict the full nonlinear shear force–slip behavior of grouped stud connectors ...

A Tohoku University-led team built a curated database of more than 30,000 hydrogen storage data entries and used interpretable AI ...

Researchers combined an optimized gradient-boosting model, SHAP explainability, and symbolic regression to derive an explicit, accurate equation for concrete creep ...

Experiments and machine learning reveal that grain boundary sliding governs the exceptional room-temperature ductility of an ultrafine-grained Mg–Li alloy, while ...

Researchers at Leiden University have developed EDC, a framework that discovers single readable equations defining decision boundaries, rivaling black-box classifiers ...

Researchers at the Eastern Institute of Technology, Ningbo, developed a graph-based AI framework called GraphED that autonomously discovers interpretable constitutive ...