爆破地震峰值的神经网络预报模型

对爆破地震值进行预报，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。

Neural Network Model for Forecasting Peak Acceleration of Blasting Vibration

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.