基于先验知识的岩爆预测研究

STUDY ON ROCKBURST PREDICTION METHOD BASED ON THE PRIOR KNOWLEDGE

采用人工神经网络理论 ,将岩爆先验知识作为学习样本 ,建立了一种新的岩爆预测模型。研究表明 ,与现有的其他岩爆预测方法相比 ,所建议的模型更具客观性和通用性 ,具有较高的预测精度。

Based on the neural network theory, a new rockburst prediction model is established. The BP network is trained using the collected data from some actural projects. The study shows that the proposed model is of objectivity, generality and higher accuracy.