摘要
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.
出处
《岩石力学与工程学报》
EI
CAS
CSCD
北大核心
2000年第4期429-431,共3页
Chinese Journal of Rock Mechanics and Engineering
关键词
岩爆预测
先验知识
人工神经网络
rockburst prediction, prior knowledge, artificial neural network, sample
