| Using an Artificial Intelligence Method to Recognize Seismic Precursory Anomaly (SPA) |
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| 作者姓名： | Zheng Wenheng Chen Junhua Yan Zunguo Zhang Qiuwen and Yang LimingInstitute of Seismology SSB Wuhan ChinaEarthquake Research Institute of Lanzhou SSB Lanzhou China |
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| 作者单位： | Zheng Wenheng，Chen Junhua，Yan Zunguo，Zhang Qiuwen，and Yang LimingInstitute of Seismology，SSB，Wuhan 430071，ChinaEarthquake Research Institute of Lanzhou，SSB，Lanzhou 730000，China |
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| 基金项目： | This project was sponsored by the Joint Earthquake Science Foundation, China (9400023) |
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| 摘 要： | In this work,we seek for a new way to recognize and analyze the Seismic Precursory Anomaly(SPA)quantitatively.For further study of the mechanism of SPA,an artificial intelligence method,the Machine Discovery(MD)method,is proposed to process the Seismic Precursor Observation(SPO)data and to fit an analytic function to them.The analytic function is used as a criterion to identify the SPA.The algorithm of MD is worked out based on the theory of Recursive Function(RF).The data of Amplitude Factor of Solid Tide(7 value)are processed by the proposed method.We find that the subsequent data fit to the extrapolation of the discovered function during the quiet period,whereas they deviate from it before a strong earthquake.Finally,the feasibility of quantitative analysis of the SPA is testified.
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Using an Artificial Intelligence Method to Recognize Seismic Precursory Anomaly (SPA) |
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| Zheng Wenheng,Chen Junhua,Yan Zunguo,Zhang Qiuwen,and Yang LimingInstitute of Seismology,SSB,Wuhan ,ChinaEarthquake Research Institute of Lanzhou,SSB,Lanzhou ,China.Using an Artificial Intelligence Method to Recognize Seismic Precursory Anomaly (SPA)[J].Earthquake Research in China,1997(1). |
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| Authors: | Zheng Wenheng Chen Junhua Yan Zunguo Zhang Qiuwen and Yang LimingInstitute of Seismology SSB Wuhan ChinaEarthquake Research Institute of Lanzhou SSB Lanzhou China |
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| Institution: | Zheng Wenheng,Chen Junhua,Yan Zunguo,Zhang Qiuwen,and Yang LimingInstitute of Seismology,SSB,Wuhan 430071,ChinaEarthquake Research Institute of Lanzhou,SSB,Lanzhou 730000,China |
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| Abstract: | In this work,we seek for a new way to recognize and analyze the Seismic Precursory Anomaly(SPA)quantitatively.For further study of the mechanism of SPA,an artificial intelligence method,the Machine Discovery(MD)method,is proposed to process the Seismic Precursor Observation(SPO)data and to fit an analytic function to them.The analytic function is used as a criterion to identify the SPA.The algorithm of MD is worked out based on the theory of Recursive Function(RF).The data of Amplitude Factor of Solid Tide(7 value)are processed by the proposed method.We find that the subsequent data fit to the extrapolation of the discovered function during the quiet period,whereas they deviate from it before a strong earthquake.Finally,the feasibility of quantitative analysis of the SPA is testified. |
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| Keywords: | Machine discovery Seismic precursor recognition Artificial intelligence |
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