Ensemble model of non-linear feature selection-based Extreme Learning Machine for improved natural gas reservoir characterization

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Ensemble model of non-linear feature selection-based Extreme Learning Machine for improved natural gas reservoir characterization

The deluge of multi-dimensional data acquired from advanced data acquisition tools requires sophisticated algorithms to extract useful knowledge from such data. Traditionally, petroleum and natural gas engineers rely on “rules-of-thumb” in the selection of optimal features with much disregard to the...

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Bibliographic Details
Main Authors:	Fatai Adesina, Anifowose, Jane, Labadin, Abdulazeez, Abdulraheem
Format:	Article
Language:	English
Published:	Elsevier B.V. 2015
Subjects:	L Education (General) T Technology (General)
Online Access:	http://ir.unimas.my/id/eprint/8464/ http://ir.unimas.my/id/eprint/8464/1/Ensemble%20model%20of%20non-linear%20feature%20selection-based%20Extreme%20Learning%20Machine%20%28abstract%29.pdf

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