| 应用人工神经元网络方法识别近震与远震 |
| |
| 引用本文： | 李慧婷,黄文辉,陈贵美.应用人工神经元网络方法识别近震与远震[J].华南地震,2000,20(4):71-75. |
| |
| 作者姓名： | 李慧婷 黄文辉 陈贵美 |
| |
| 作者单位： | 广东省地震局,广东广州 510070 |
| |
| 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，可以应用于台网的实时处理系统。
|
| 关 键 词： | 震相识别 人工神经元网络 实时系统 近震 远震 |
| 文章编号： | 1001-8662(2000)04-0071-05 |
| 修稿时间： | 2000年6月12日 |
Recognition of near and far earthquake by artificial neural network |
| |
| LI Hui ting,HUANG Wen hui,CHEN Gui mei.Recognition of near and far earthquake by artificial neural network[J].South China Journal of Seismology,2000,20(4):71-75. |
| |
| Authors: | LI Hui ting HUANG Wen hui CHEN Gui mei |
| |
| Abstract: | 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. |
| |
| Keywords: | phase identification artificial neural network real time system |
| 本文献已被 CNKI 维普 万方数据 等数据库收录！ |
