A Brief Review of Popular Machine Learning Algorithms in Geosciences
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Publisher
Springer International Publishing
Link
https://link.springer.com/content/pdf/10.1007/978-3-030-71768-1_4
Reference85 articles.
1. Al-Anazi AF, Gates ID (2010) Support vector regression for porosity prediction in a heterogeneous reservoir: a comparative study. Comput Geosci 36(12):1494–1503. https://doi.org/10.1016/j.cageo.2010.03.022
2. Alaudah Y, Michalowicz P, Alfarraj M, AlRegib G (2019) A machine learning benchmark for facies classification. Interpretation 7(3):SE175–SE187. https://doi.org/10.1190/INT-2018-0249.1
3. Al-Mudhafar WJM, Bondarenko MA (2015) Integrating K-means clustering analysis and generalized additive model for efficient reservoir characterization. EAGE conference and exhibition
4. Andoine R, Florea A-C (2020) Weighted random search for CNN hyperparameter optimization. Int J Comput Commun & Control 15(2):3868. https://doi.org/10.15837/ijccc.2020.2.3868
5. Arthur D, Vassilvitskii S (2007) k-means++: the advantages of careful seeding. Proceedings of the 18th annual ACM-SIAM symposium on discrete algorithms, pp 1027–1035
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