Abstract: Pattern recognition method is used to predict rockburst. The rock elastic energy index, rock brittleness coefficient and the ratio of the maximum tangential stress of surrounding rock to the rock uniaxial compressive strength are chosen as the main influencing factors for predicting rockburst. By using grey system and fuzzy mathematics theory, a new rockburst prediction method based on fuzzy grey incidence pattern recognition method is proposed and applied in the prediction research of the rockburst trend and intensity of Dongguashan Copper Mine. The prediction results indicate that the method proposed has a high predication accuracy and a good application prospect.

Key words: Rockburst, Rockburst prediction, Grey incidence theory, Fuzzy maths, Pattern recognition