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Support vector machines applied to fast determination of the geographical coordinates of earthquakes, The case of El Rosal seismological station, Bogotá Colombia

机译:支持向量机应用于快速确定地震地理坐标,El Rosal地震局的案例,Bogotá哥伦比亚

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摘要

AbstractThe objective of this research was to determine seismic events latitude and longitude using support vector machines (SVMs) and seismic records from “El Rosal” station, which is located 40 kilometers northwest of Bogotá, Colombia. A total of 504 SVMs models were tested to determine latitude and 504 models for longitude, with various combinations of complexity factor and kernel function exponent, applied to earthquakes of 2, 2.5, 3 and 3.5 ML in time windows of 15 , 10 and 5 seconds. The best results showed errors of 40 kilometers for latitude and 30 kilometers for longitude, with respect to the place where the earthquakes were generated. These outcomes might be improved by applying additional descriptors during SVMs training stages, such descriptors can be related to Fourier frequency spectra, predominant period and wavelet transform coefficients.
机译:摘要本研究的目的是使用来自“El ROSAL”站的支持向量机(SVM)和地震记录来确定地震事件纬度和经度,位于哥伦比亚波哥大西北40公里。测试了504个SVMS模型以确定纬度和504种经度模型,具有各种复杂性因子和核函数指数的组合,适用于15,10和5秒的时间窗口的2,2.5,3和3.5毫升的地震。最佳结果显示出纬度为40公里的误差和30公里的经度,相对于生成地震的地方。通过在SVMS训练阶段应用附加描述符可以提高这些结果,这种描述符可以与傅里叶频谱,主要时段和小波变换系数相关。

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