Improving the prediction of petroleum reservoir characterization with a stacked generalization ensemble model of support vector machines

The ensemble learning paradigm has proved to be relevant to solving most challenging industrial problems. Despite its successful application especially in the Bioinformatics, the petroleum industry has not benefited enough from the promises of this machine learning technology. The petroleum industry...

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Main Authors: Fatai Adesina, Anifowose, Jane, Labadin, Abdulazeez, Abdulraheem
格式: Article
語言:English
出版: Elsevier Ltd. 2015
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在線閱讀:http://ir.unimas.my/id/eprint/12744/1/Improving-the-prediction-of-petroleum%20%28abstract%29.pdf
http://ir.unimas.my/id/eprint/12744/
https://www.scopus.com/record/display.uri?eid=2-s2.0-84912062615&origin=inward&txGid=0
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