| 利用人工神经网络理论对地震信号及地震震相进行识别 |
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| 引用本文： | 张范民,李清河,张元生,盛国英,范兵.利用人工神经网络理论对地震信号及地震震相进行识别[J].西北地震学报,1998,20(4):43-49. |
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| 作者姓名： | 张范民 李清河 张元生 盛国英 范兵 |
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| 作者单位： | 中国地震局兰州地震研究所 |
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| 摘 要： | 根据人工神经网络理论，初步研究了工人工神经网络地震信号及震相进行识别的能力。为了进行识别，将三分向地震资料的矢量模作为神经网络的输入。
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| 关 键 词： | 地震信号 识别法 震相 人工神经网络 地震 |
| 收稿时间： | 1997/10/31 0:00:00 |
THE SEISMIC SIGNAL AND PHASE RECOGNITION BY USING ARTIFICIAL NEURAL NETWORK THEORY |
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| Zhang Fanmin,Li Qinghe,Zhang Yuansheng,Shen Guoying and Fan Bing.THE SEISMIC SIGNAL AND PHASE RECOGNITION BY USING ARTIFICIAL NEURAL NETWORK THEORY[J].Northwestern Seismological Journal,1998,20(4):43-49. |
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| Authors: | Zhang Fanmin Li Qinghe Zhang Yuansheng Shen Guoying and Fan Bing |
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| Institution: | Lanzhou. Institute of Seismology, CSB, Lanzhou 730000,Lanzhou. Institute of Seismology, CSB, Lanzhou 730000,Lanzhou. Institute of Seismology, CSB, Lanzhou 730000,Lanzhou. Institute of Seismology, CSB, Lanzhou 730000 and Lanzhou. Institute of Seismology, CSB, Lanzhou 730000 |
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| Abstract: | According to the theory of artificial neural networks,a preliminary study has been performed to test the ability of recognising seismic signals and phases by using artificial neural networks,and the phase recognition has been achieved for three-component recordings by using vector modulus of these seismic records as the network input.Results show that the method is very valid in the determination of seismic phases and arrivals,especially for high signalnoise ratio records. |
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| Keywords: | Earthquake signal recognition method Seismic phase Arrival time Artificial neural network |
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