Prediction of local scour around bridge piers: artificial-intelligence-based modeling versus conventional regression methods
Abstract This paper presents the use of two artificial intelligence modeling methods, namely genetic programming (GP) and adaptive neuro-fuzzy inference system (ANFIS), to predict pier scour depth based on clear water conditions of 320 data sets of laboratory and field data measurements. The scour d...
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| Format: | Article |
| Language: | English |
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SpringerOpen
2020-01-01
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| Series: | Applied Water Science |
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| Online Access: | https://doi.org/10.1007/s13201-020-1140-4 |