A Physics-Driven Deep-Learning Network for Solving Nonlinear Inverse Problems-Reference-Cited by-同舟云学术

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A Physics-Driven Deep-Learning Network for Solving Nonlinear Inverse Problems

Published:2020-02-01 Issue:1 Volume:61 Page:86-98
ISSN:2641-4112
Container-title:Petrophysics – The SPWLA Journal of Formation Evaluation and Reservoir Description
language:
Short-container-title:Petro S Journ

Author:

Jin Yuchen, ,Shen Qiuyang,Wu Xuqing,Chen Jiefu,Huang Yueqin, , , ,

Publisher

Society of Petrophysicists and Well Log Analysts (SPWLA)

Subject

Geotechnical Engineering and Engineering Geology

Cited by 27 articles. 订阅此论文施引文献订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

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2. Physics-guided deep learning-based inversion for airborne electromagnetic data;Geophysical Journal International;2024-07-08

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4. Enhancing Geosteering With AI: Integrating a Decision-Making Robot Into a Cloud-Based Environment and Benchmarking Against Human Experts;Day 1 Wed, April 17, 2024;2024-04-17

5. Tunnel resistivity deep learning inversion method based on physics‐driven and signal interpretability;Near Surface Geophysics;2024-03-09

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