Enhanced machine learning tree classifiers for lithology identification using Bayesian optimization

Enhanced machine learning tree classifiers for lithology identification using Bayesian optimization

Lithology identification is a fundamental activity in oil and gas exploration. The application of artificial intelligence (AI) is currently being adopted as a state-of-the-art means of automating lithology identification. One aspect of this AI approach is the application of population search algorit...

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Bibliographic Details
Main Authors: Solomon Asante-Okyere, Chuanbo Shen, Harrison Osei
Format: Article
Language:English
Published: Elsevier 2022-12-01
Series:Applied Computing and Geosciences
Subjects:
Bayesian optimization
Decision tree
Lithology
AdaBoost
Bagged
RUSBoost
Online Access:http://www.sciencedirect.com/science/article/pii/S2590197422000222

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http://www.sciencedirect.com/science/article/pii/S2590197422000222

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