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The angle of break is a key factor that determines the mining damage extent of the surface in a mine, and it is also used to depict the characteristics of the mining subsidence basin. The geological and mining factors that influence the angle of break are fully analyzed. Based on the practical observational data from the ground movement monitoring stations of many mines in China, a neural network model with genetic algorithm is developed to determine the angle of break. The combination of genetic algorithm and neural network can overcome the disadvantages of the artificial neural works such as limitation of local optimization and slow convergence rate. The validity and reliability of neural network method combined with genetic algorithm to determinate the angle of break are verified by the existing engineering instances.