摘要
目的对爆破地震峰值进行预报，方法采用神经网络模型，对秦山核电站某爆破工程监测得到的２０组震动峰值数据进行学习，然后对另１０组数据进行预报，结果实测值与预报所在分类区域完全一致．结论用神经网络法预报爆破地震是一种探索．研究表明该方法可行并可推广应用．
Aim To forecast the peak acceleration of blasting vibration.Methods The neural network model was adopted, the twenty groups of peak acceleration data of blasting vibration obtained from Qinshan were used to train it,and ten groups of da- ta were forecasted.Results The forecasting results are identical with the measured re- sults.Conclusion What is presented in this paper is just an exploratory forecasting.The results show that the method is feasible and can be spread.
出处
《北京理工大学学报》
EI
CAS
CSCD
1998年第4期472-475,共4页
Transactions of Beijing Institute of Technology
关键词
神经网络
爆破地震
峰值加速度
预报模型
neural network: blasting vibration
peak acceleration
simulation
