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名   称 A Three-Dimensional Geological Structure Modeling Framework and Its Application in Machine Learning
科技资源标识 CSTR:11738.14.NCDC.XDA14.PP5626.2024
DOI 10.1007/S11004-022-10027-9
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摘   要 Three-dimensional geological structure analysis is fundamental to geoscientific research. With the application of artificial intelligence in geological structure analysis, deep learning methods raise the demand for diversity in labeled structural learning sets.
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作者 Wang Shenghou,Cai Zhongxian,Si Xu,Cui Yatong
数据量 12.6 MiB
论文类型: journal
论文网址: https://doi.org/10.1007/s11004-022-10027-9
期刊名称: Mathematical Geosciences
出版时间: 2023-02-01
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数据引用
Wang Shenghou,Cai Zhongxian,Si Xu,Cui Yatong. A Three-Dimensional Geological Structure Modeling Framework and Its Application in Machine Learning. 国家冰川冻土沙漠科学数据中心(http://www.ncdc.ac.cn), 2024. https://cstr.cn/CSTR:11738.14.NCDC.XDA14.PP5626.2024.
Wang Shenghou,Cai Zhongxian,Si Xu,Cui Yatong. A Three-Dimensional Geological Structure Modeling Framework and Its Application in Machine Learning. 国家冰川冻土沙漠科学数据中心(http://www.ncdc.ac.cn), 2024. https://www.doi.org/10.1007/S11004-022-10027-9.
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知识共享许可协议   本作品采用 知识共享署名 4.0 国际许可协议进行许可。

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