| v-SVC算法在地震与爆破识别及窗长度选取中的应用 |
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| 引用本文： | 黄汉明,边银菊,卢世军,李锐,蒋正锋.v-SVC算法在地震与爆破识别及窗长度选取中的应用[J].地震地磁观测与研究,2010,31(3):24-31. |
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| 作者姓名： | 黄汉明 边银菊 卢世军 李锐 蒋正锋 |
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| 作者单位： | 1. 中国桂林,541004,广西师范大学计算机科学与信息工程学院
2. 中国北京,100081,中国地震局地球物理研究所 |
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| 基金项目： | 地震行业科研专项基金 |
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| 摘 要： | 对天然地震与人工爆破的波形记录,本文用v—SVC支持向量分类机对由波形记录获取的香农熵特征进行了分类识别,效果较好;并对波形记录选取不同的信号窗长度,用v—SVC支持向量分类机分别进行了识别检验。结果表明:窗长度对识别效果有影响,以窗长度为2000点的识别效果最好,识别率达98%。这也表明,在地震与爆破的识别中,合理地选取波形记录的信号窗长度也是重要的。
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| 关 键 词： | 支持向量机 分类识别 窗长度选取 人工爆破 香农熵 |
v-SVC algorithm applied in earthquake and explosion recognition and the choice of window length |
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| Huang Hanming,Bian Yinju,Lu Shijun,Li Rui,Jiang Zhengfeng.v-SVC algorithm applied in earthquake and explosion recognition and the choice of window length[J].Seismological and Geomagnetic Observation and Research,2010,31(3):24-31. |
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| Authors: | Huang Hanming Bian Yinju Lu Shijun Li Rui Jiang Zhengfeng |
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| Institution: | 1) College of Computer and Information Engineering, Guangxi Normal University, Guilin 541004, China 2) Institute of Geophysics, China Earthquake Administration, Beijing 100081, China |
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| Abstract: | In this paper, the v --SVC algorithm is applied in the classification of earthquake and ex- plosion basing upon Shannon entropy features extracted from seismic wave records. The rec- ognition effect is approving. Several different window lengths of wave record are used for feature extraction. Classifications by v -SVC are carried out for recognition tests. The re- sults show that window length is also an important factor for recognition rate. The best win- dow length is 2000 sampling points which achieves 98% recognition rate. This means that appropriate window length of seismic signal may also be an important role in the classifica- tion of earthquake and explosion. |
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| Keywords: | support vector machine classification and recognition choice of window length explosion shannon entropy |
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