Pruned committee neural network based on accuracy and diversity trade-off for permeability prediction
Committee Machine (CM) or ensemble introduces a machine learning technique that aggregates some learners or experts to improve generalization performance compared to single member. The constructed CMs are sometimes unnecessarily large and have some drawbacks such as using extra memories, computation...
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| Main Authors: | , |
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| Format: | Article |
| Language: | English |
| Published: |
OMICS International
2014
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| Online Access: | http://psasir.upm.edu.my/id/eprint/35100/1/35100.pdf http://psasir.upm.edu.my/id/eprint/35100/ http://www.omicsgroup.org/journals/pruned-committee-neural-network-based-on-accuracy-and-diversity-trade-off-for-permeability-prediction-2329-6755.1000144.php?aid=24772 |
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