The fusion of data-driven machine learning with mechanism models and interpretability issues

XIAO Lizh

PDF(1236 KB)
PDF(1236 KB)
Geophysical Prospecting for Petroleum ›› 2022, Vol. 61 ›› Issue (2) : 205-212. DOI: 10.3969/j.issn.1000-1441.2022.02.002

The fusion of data-driven machine learning with mechanism models and interpretability issues

    {{javascript:window.custom_author_en_index=0;}}
  • {{article.zuoZhe_EN}}
Author information +
History +

HeighLight

{{article.keyPoints_en}}

Abstract

{{article.zhaiyao_en}}

Key words

Cite this article

EndNote

Ris (Procite)

Bibtex

Download Citations
{{article.zuoZheEn_L}}. {{article.title_en}}. {{journal.qiKanMingCheng_EN}}. 2022, 61(2): 205-212 https://doi.org/10.3969/j.issn.1000-1441.2022.02.002

References

Publishing order | Descend order by publishing year | Descend order by cited within

References

{{article.reference}}

Funding

RIGHTS & PERMISSIONS

{{article.copyrightStatement_en}}
{{article.copyrightLicense_en}}
PDF(1236 KB)

Accesses

Citation

Detail
Sections
Recommended
Copyright © Geophysical Prospecting for Petroleum, All Rights Reserved.
Powered by Beijing Magtech Co., Ltd.

/

〈 〉