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

The kinetics of ascorbic acid (AA) degradation and nonenzymatic browning Frankincense (NEB) of heat-treated single strength orange juice (OJ) over a temperature between 70-95 oC for 2-10 min.and stored under opaque condition at 4 and 20 oC for 2 months have been studied.Analysis of kinetic data by measuring absorbance at 420 nm (A420) suggested a z