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Chinese Journal of Geophysics (in Chinese)  2021, Vol. 64 Issue (4): 1435-1452    DOI: 10.6038/cjg2021O0151
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  Cite this article:   
     ZHANG ZhiHou, LIAO XiaoLong, CAO YunYong,et al .2021.Joint gravity and gravity gradient inversion based on deep learning.Chinese Journal of Geophysics (in Chinese),64(4): 1435-1452,doi: 10.6038/cjg2021O0151
Joint gravity and gravity gradient inversion based on deep learning
ZHANG ZhiHou1,2, LIAO XiaoLong1, CAO YunYong3, HOU ZhenLong4,5, FAN XiangTai1, XU ZhengXuan1,3, LU RunQi1, FENG Tao3, YAO Yu1, SHI ZeYu1
1. Faculty of Geosciences and Environmental Engineering, Southwest Jiaotong University, Chengdu 611756, China;
2. Ministry of Education Key Laboratory of High-speed Railway Engineering, Southwest Jiaotong University, Chengdu 610031, China;
3. Chengdu Geological Survey Geotechnical Engineering Co, Ltd, Chengdu 610000, China;
4. Key Laboratory of Ministry of Education on Safe Mining of Deep Metal Mines, Northeastern University, Shenyang 110819, China;
5. School of Resources and Civil Engineering, Northeastern University, Shenyang 110819, China

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