PREDICTION OF ROCKBURST BY ARTIFICIAL NEURAL NETWORK

Based on the analysis of main causes of rockburst, the compressive strength, tensile strength, elastic energy index of rock and the maximum tangential stress of the cavern wall are chosen as the criterion indexes for rockburst prediction. A new approach using neural method is proposed to predict rockburst occurrence and its intensity. The prediction results show that it is feasible and appropriate to use artificial neural network model for rockburst prediction.