Predicting mine water inflow volumes using a decomposition-optimization algorithm-machine learning approach
Abstract Disasters caused by mine water inflows significantly threaten the safety of coal mining operations.Deep mining complicates the acquisition of hydrogeological parameters, the mechanics of water inrush, and the prediction of sudden changes in mine water inflow.Traditional models and singular machine learning approaches often fail to accurate