Machine learning models improve the prediction of groundwate

For the Ningxia area, located in the arid and semi-arid regions of China, groundwater is one of the most important sources of drinking water. However, there has been little research on the application of machine learning models in predicting groundwater in this area.

Related Keywords

China , Nanjing , Jiangsu , Ningxia , Chinese , Jiarui Cai , Convolution Neural Network , Chinese Academy Of Sciences , Chinese Academy , Nanjing University , Information Science , Multi Head Attention , Long Short Term Memory , Gated Recurrent Unit , Oceanic Science , Oceanic Science Letters ,