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Abstract Mine water volume plays a vital role in safe mining, whose accurate predication can guarantee the safe mining. In this paper, the principal component analysis algorithm was adopted to select the main factors that affect the volume of water surging, and construct the BP neural network model, combined with the example of Zhaogezhuang mine, a feasible method for the dynamic prediction of water surges was proposed.
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