论文部分内容阅读
Based on the analysis of main causes ofrockburst, the compressive strength, tensile strength, elastic energyindex of rock and the maximum tangential stress of the cavern wall are chosen as the criterion indexes for rockburstprediction. A new approach using neural method is proposed to predict rockburst occurrence and its intensity. Theprediction results show that it is feasible and appropriate to use artificial neural network model for rockburstprediction.