Data-driven approaches for estimation of sediment discharge in rivers
Author:
- 22 December 2023
- journal article
- research article
- Published by Springer Nature in Earth Science Informatics
- Vol. 17 (1) , 761-781
Abstract
No abstract availableKeywords
Funding Information
- the Deanship of Scientific Research (DSR), King Abdulaziz University, Jeddah (D-536-829-1443)
This publication has 63 references indexed in Scilit:
- Application of improved neuro-fuzzy GMDH to predict scour depth at sluice gatesEarth Science Informatics, 2014
- Group Method of Data Handling to Predict Scour at Downstream of a Ski-Jump Bucket SpillwayEarth Science Informatics, 2014
- Abutment scour in clear-water and live-bed conditions by GMDH networkWater Science & Technology, 2013
- GMDH to predict scour depth around a pier in cohesive soilsApplied Ocean Research, 2013
- GMDH based back propagation algorithm to predict abutment scour in cohesive soilsOcean Engineering, 2013
- Assessment of M5′ model tree and classification and regression trees for prediction of scour depth below free overfall spillwaysNeural Computing and Applications, 2012
- Suspended sediment modeling using genetic programming and soft computing techniquesJournal of Hydrology, 2012
- Gene-Expression Programming for Sediment Transport in Sewer Pipe SystemsJournal of Pipeline Systems Engineering and Practice, 2011
- Gene Expression Programming in Problem Solving2002
- Multivariate Adaptive Regression SplinesThe Annals of Statistics, 1991