Mine roof water inflow prediction model for the initial mining disturbance stage based on simulation-driven feature selection and ensemble learning - Tang, Xiaohang; Wang, Zhongchang; Zhang, Wenquan (Results in engineering, 2025)
Keywords: Coal mine water inrush; Deep Q network-based bee algorithm (DLBA); Ensemble learning; Extreme gradient boosting (XGBoost); Thick unconsolidated layers; Wasserstein conditional generative adversarial network (W-CGANs); Extreme gradient boosting (XGBoost); Coal mine water inrush; Deep Q network-based bee algorithm (DLBA); Thick unconsolidated layers; Ensemble learning; Wasserstein conditional generative adversarial network (W-CGANs)