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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:	Bui, D. T., Shirzadi, A., Amini, A., Shahabi, H., Al-Ansari, N., Hamidi, S., Singh, S. K., Pham, B. T., Ahmad, B. B., Ghazvinei, P. T.
格式:	Article
語言:	English
出版:	MDPI AG 2020
主題:	TA Engineering (General). Civil engineering (General)
在線閱讀:	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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