The linear random forest algorithm and its advantages in machine learning assisted logging regression modeling-Reference-Cited by-同舟云学术

The linear random forest algorithm and its advantages in machine learning assisted logging regression modeling

Published:2019-03 Issue: Volume:174 Page:776-789
ISSN:0920-4105
Container-title:Journal of Petroleum Science and Engineering
language:en
Short-container-title:Journal of Petroleum Science and Engineering

Author:

Ao Yile,Li Hongqi,Zhu Liping,Ali Sikandar,Yang Zhongguo

Publisher

Elsevier BV

Subject

Geotechnical Engineering and Engineering Geology,Fuel Technology

Reference88 articles.

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4. Support vector regression for porosity prediction in a heterogeneous reservoir: a comparative study;Al-Anazi;Comput. Geosci.,2010

5. Support vector regression to predict porosity and permeability: effect of sample size;Al-Anazi;Comput. Geosci.,2012

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