Comments: A hybrid intelligence approach to enhance the prediction accuracy of local scour depth at complex bridge piers

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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Bibliographic Details
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.
Format:	Article
Language:	English
Published:	MDPI AG 2020
Subjects:	TA Engineering (General). Civil engineering (General)
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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A hybrid intelligence approach to enhance the prediction accuracy of local scour depth at complex bridge piers

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