Forming a new small sample deep learning model to predict total organic carbon content by combining unsupervised learning with semisupervised learning

L Zhu, C Zhang, C Zhang, Z Zhang, X Nie, X Zhou… - Applied Soft …, 2019 - Elsevier
The total organic carbon (TOC) content is a parameter that is directly used to evaluate the
hydrocarbon generation capacity of a reservoir. For a reservoir, accurately calculating TOC …

[引用][C] Forming a new small sample deep learning model to predict total organic carbon content by combining unsupervised learning with semisupervised learning

L Zhu, C Zhang, C Zhang, Z Zhang, X Nie… - Applied Soft …, 2019 - cir.nii.ac.jp
Forming a new small sample deep learning model to predict total organic carbon content by
combining unsupervised learning with semisupervised learning | CiNii Research CiNii 国立 …

Forming a new small sample deep learning model to predict total organic carbon content by combining unsupervised learning with semisupervised learning

L Zhu, C Zhang, C Zhang, Z Zhang, X Nie, X Zhou… - 2019 - dl.acm.org
The total organic carbon (TOC) content is a parameter that is directly used to evaluate the
hydrocarbon generation capacity of a reservoir. For a reservoir, accurately calculating TOC …