Deep learning inversion method of tunnel resistivity synthetic data based on modeling data

IF 1.1 4区地球科学 Q3 GEOCHEMISTRY & GEOPHYSICS

Near Surface Geophysics Pub Date : 2023-03-13 DOI:10.1002/nsg.12253

Benchao Liu, Qian Guo, Yuting Tang, Peng Jang

引用次数: 0

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基于建模数据的隧道电阻率综合数据深度学习反演方法

本文章由计算机程序翻译，如有差异，请以英文原文为准。

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来源期刊

Near Surface Geophysics 地学-地球化学与地球物理

CiteScore

3.60

自引率

12.50%

发文量

审稿时长

6-12 weeks

期刊介绍： Near Surface Geophysics is an international journal for the publication of research and development in geophysics applied to near surface. It places emphasis on geological, hydrogeological, geotechnical, environmental, engineering, mining, archaeological, agricultural and other applications of geophysics as well as physical soil and rock properties. Geophysical and geoscientific case histories with innovative use of geophysical techniques are welcome, which may include improvements on instrumentation, measurements, data acquisition and processing, modelling, inversion, interpretation, project management and multidisciplinary use. The papers should also be understandable to those who use geophysical data but are not necessarily geophysicists.