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WU Yan, YU Zhi-chao. Application of Neural Network in Water Source Distinguishing of Mine Water Inrush[J]. Journal of Mine Automation, 2011, 37(10): 60-62.
Citation: WU Yan, YU Zhi-chao. Application of Neural Network in Water Source Distinguishing of Mine Water Inrush[J]. Journal of Mine Automation, 2011, 37(10): 60-62.
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Application of Neural Network in Water Source Distinguishing of Mine Water Inrush

  • 1.

    Xiaoming Coal Mine of Tiefa Coal Industry (Group) Co., Ltd., Diaobingshan 112700, China. 2.School of Information and Electrical Engineering of CUMT., Xuzhou 221116, China

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  • 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.
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