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一种混合CNN-LSTM架构用于使用高速GNSS速度时间序列检测地震事件

Deniz Başar1, Rahmi Nurhan Çelik1

  • 1Faculty of Civil Engineering, Department of Geomatics Engineering, Istanbul Technical University, ITU Ayazaga Campus, Maslak, Istanbul 34367, Turkey.

Sensors (Basel, Switzerland)
|January 28, 2026
PubMed
概括

本研究介绍了一种混合深度学习模型,使用全球导航卫星系统 (GNSS) 的速度数据进行地震检测. 该方法在从GNSS时间序列中识别地震事件时表现出高精度.

关键词:
卷积神经网络 (CNN) 是一种神经网络.地震早期预警系统 (EEW)可解释的人工智能 (XAI)全球导航卫星系统 (GNSS) 是一个全球导航卫星系统.长时间短期记忆 (LSTM)

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