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Physics-embedded deep learning inversion for transient electromagnetic method survey data

delete2025-07-01
delete0
PRE
AI
R
Ruiyou Li
Y
Yong Zhang
J
Jiayi Ju
R
Rongqiang Liu
DOI：10.1016/j.cageo.2025.106000delete
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摘要

摘要

En 中文
• 提出了一种嵌入物理定律的无监督深度学习网络用于TEM反演。 • 构建了一种包含动力学平滑约束的损失函数，以增强网络训练效率。 • 提出了一种联合LSTM-Attention网络和WOA-MVMD技术，以提高反演精度。

期刊

C
Computers and Geosciences
IF:
4.4
论文数:
5.0K
被引数:
1.5W

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