应用人工神经元网络方法识别近震与远震  

Recognition of near and far earthquake by artificial neural network

作　　者：李慧婷[1] 黄文辉[1] 陈贵美[1] 

机构地区：[1]广东省地震局,广东广州510070

出　　处：《华南地震》2000年第4期71-75,共5页South China Journal of Seismology

摘　　要：利用人工神经元网络方法 ,提出了一种在实时系统中识别近震与远震的算法 ,并用广东省台网记录的地震波形数据进行训练和测试。结果表明 ,该算法能准确可靠地识别远、近震 。In this paper, an algorithm based on artificial neural network (ANN) is given for automatic recognizing near and far earthquake. This algorithm can recognize near and far earthquake accurately through training and testing many samples of seismograms of GDDSN. The result shows that it can be applied to real time seismic data process system.

关 键 词：震相识别 人工神经元网络 实时系统 近震 远震 

分 类 号：P315.63[天文地球—地震学] TP183[天文地球—固体地球物理学]