Optimizing oil-source correlation analysis using support vector machines and sensory attention networks-Reference-Cited by-同舟云学术

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Optimizing oil-source correlation analysis using support vector machines and sensory attention networks

Published:2024-07 Issue: Volume:189 Page:105641
ISSN:0098-3004
Container-title:Computers & Geosciences
language:en
Short-container-title:Computers & Geosciences

Author:

Xiao Yifeng,Wang Tongxi^ORCID,Xiang Hua

Funder

National Natural Science Foundation of China

Publisher

Elsevier BV

Reference36 articles.

1. A training algorithm for optimal margin classifiers;Boser,1992

2. Geochemical characteristics and oil source correlation of minfeng area, dongying depression, China;Bo;Geofluids,2021

3. A general survey on attention mechanisms in deep learning;Brauwers;IEEE Trans. Knowl. Data Eng.,2021

4. Support-vector networks;Cortes;Mach. Learn.,1995

5. Chemical fingerprinting of petroleum biomarkers using time warping and PCA;Christensen;Environ. Sci. Technol.,2005

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