A hybrid intelligence approach to enhance the prediction accuracy of local scour depth at complex bridge piers
Local scour depth at complex piers (LSCP) cause expensive costs when constructing bridges. In this study, a hybrid artificial intelligence approach of random subspace (RS) meta classifier, based on the reduced error pruning tree (REPTree) base classifier, namely RS-REPTree, was proposed to predict t...
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| Main Authors: | , , , , , , , , , |
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| Format: | Article |
| Language: | English |
| Published: |
MDPI AG
2020
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| Subjects: | |
| Online Access: | http://eprints.utm.my/id/eprint/86878/1/DieuTienBui2020_AHybridIntelligenceApproach.pdf http://eprints.utm.my/id/eprint/86878/ https://dx.doi.org/10.3390/su12031063 |
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