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基于深度学习的闪电电磁脉冲 (LEMP) 多站识别技术的研究

Fang Xiao1, Qiming Ma1, Jiajun Song1

  • 1Institute of Electrical Engineering, Chinese Academy of Sciences, Beijing 100190, China.

Sensors (Basel, Switzerland)
|December 11, 2025
PubMed
概括

本研究介绍了一种用于识别闪电电磁脉冲 (LEMP) 的深度学习模型. 该模型使用多站数据实现了超过97%的准确性,增强了闪电监控和保护.

关键词:
卷积神经网络 (CNN) 是一种神经网络.深度学习是一种深度学习.闪电是因为闪电.闪电是电磁脉冲的电磁脉冲.多个站的多个站.

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