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...

Full description

Saved in:
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:
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
Tags: Add Tag
No Tags, Be the first to tag this record!