Application of Neural Network in Water Source Distinguishing of Mine Water Inrush

The paper proposed a method of using improved SOM neural network to distinguish water source of mine water inrush. The method takes seven irons contents of Na+, K+, Ca2+, Mg2+, Cl-, SO2-4 and HCO-3 in water as distinguished factors and combines with improved SOM neural network model to classify 20 samples of water source. The experiment result showed that mistake rate of the method is 0 and can distinguish water source of mine water inrush accurately.