Empirical-Constraint Physics-Informed Neural Network for Predicting the Height of Water-Conducting Fracture Zone
Accurate prediction of water-conducting fracture zone (WCFZ) height is essential for preventing mine water hazards. Existing empirical, numerical, and artificial intelligence methods are limited by applicability, parameter sensitivity, or insufficient incorporation of engineering prior knowledge. This study develops a...