APPLICATION OF NEURAL NETWORKS TO STUDY AND PREDICTION FORECAST ROCKBURST

The main factors influencing rockburst are analyzed, the complex non-linear relation between the factors are firstly simulated on neural network model and remove the influences of artificial choosing the risk indexes in traditional methods. Test result shows that the model is reliable and precise and provides basis for application of the artificial intelligence to rockburst prediction.