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

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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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Bibliographic Details
Main Authors:	Fatai Adesina, Anifowose, Jane, Labadin, Abdulazeez, Abdulraheem
Format:	Article
Language:	English
Published:	Elsevier Ltd. 2015
Subjects:	T Technology (General) TJ Mechanical engineering and machinery
Online Access:	http://ir.unimas.my/id/eprint/12744/ http://ir.unimas.my/id/eprint/12744/1/Improving-the-prediction-of-petroleum%20%28abstract%29.pdf

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