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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| Main Authors: | , , |
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| Format: | Article |
| Language: | English |
| Published: |
Elsevier B.V.
2015
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| Subjects: | |
| Online Access: | http://ir.unimas.my/id/eprint/8464/1/Ensemble%20model%20of%20non-linear%20feature%20selection-based%20Extreme%20Learning%20Machine%20%28abstract%29.pdf http://ir.unimas.my/id/eprint/8464/ http://www.researchgate.net/publication/272523954_Ensemble_model_of_non-linear_feature_selection-based_Extreme_Learning_Machine_for_improved_natural_gas_reservoir_characterization |
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