Chinese researchers have developed two hybrid machine learning models, MH-CNN-LSTM and MH-CNN-GRU, to predict groundwater depth in the Ningxia region. These models, combined with multi-head attention and optimized with the dung beetle optimization algorithm, outperformed traditional statistical models.
