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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| 主要な著者: | , , |
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| フォーマット: | 論文 |
| 言語: | English |
| 出版事項: |
Elsevier Ltd.
2015
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| 主題: | |
| オンライン･アクセス: | 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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