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Long Short-Term Memory Networks for Earthquake Detection in Venezuelan Regions

机译:委内瑞拉地区地震检测的长短期记忆网络

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Reliable earthquake detection and location algorithms are necessary to properly catalog and analyze the continuously growing seismic records. This paper reports the results of applying Long Short-Term Memory (LSTM) networks to single-station three-channel waveforms for P-wave earthquake detection in western and north central regions of Venezuela. Precisely, we apply our technique to study the seismicity along the dextral strike-slip Bocono and La Victoria - San Sebastian faults, with complex tectonics driven by the interactions between the South American and Caribbean plates.
机译:可靠地震检测和位置算法是正确目录和分析持续增长的地震记录所必需的。本文报告了将长短期存储器(LSTM)网络应用于委内瑞拉西部和北中心地区的P波地震检测单站三通道波形的结果。正是,我们应用我们的技术沿着右旋滑动博克诺和La Victoria - San Sabastian断层研究地震性,并通过南美洲和加勒比地板之间的相互作用驱动了复杂的构造。

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