Prediction and regulation of blast furnace iron output based on iterative feature optimisation and interpretable analysis
To address the challenges of strong temporal dependencies, multivariable coupling, and nonlinearity in blast furnace hot metal output prediction, this study proposes an interpretable prediction framework that integrates a feature selection module based on Light Gradient Boosting Machine and Recursive Feature Eliminat...