Research on prediction of high energy microseismic events in rock burst mines based on BP neural network
Abstract In response to the frequent occurrence of high-energy microseismic events in coal mines in China, a back propagation neural network (BPNN) prediction model based on surface subsidence data has been proposed to provide a basis for safely and efficiently predicting coal mine disasters.Theoretical research on the relationship between surface