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Coal seam is a dynamic and nonlinear system, building an analysis model tally with the actual situation is necessary to numerical simulation. In this paper, self-organizing neural network is employed to build a prediction model for mine roof. Moreover, digital image processing technology is introduced into the analysis on roof crack, it use the method of multi-scale wavelet transform to detect the image edge that would be quantitative measured. Simulation verifies the effectiveness of the model.