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A comparative study of solo and hybrid data driven models for predicting bridge pier scour depth
- Source :
- Marine Georesources & Geotechnology. 39:589-599
- Publication Year :
- 2020
- Publisher :
- Informa UK Limited, 2020.
-
Abstract
- This paper comparatively investigates the capability of 10 solo and hybrid Data Driven Models (DDMs) in predicting the pier scour depth. These models include Support Vector Machine (SVM), Adaptive ...
- Subjects :
- Pier
010505 oceanography
0211 other engineering and technologies
Ocean Engineering
02 engineering and technology
Geotechnical Engineering and Engineering Geology
Oceanography
01 natural sciences
Support vector machine
Geology
Hybrid data
021101 geological & geomatics engineering
0105 earth and related environmental sciences
Marine engineering
Subjects
Details
- ISSN :
- 15210618 and 1064119X
- Volume :
- 39
- Database :
- OpenAIRE
- Journal :
- Marine Georesources & Geotechnology
- Accession number :
- edsair.doi...........2598f3282c72beaaf81d554622717f9b