Machine learning-based prediction of scour depth around different-shaped bridge abutments

Improving the Prediction of Scour Depth Downstream of the Flip Bucket with Machine Learning Techniques

(2022) Mohammad Rashki Ghaleh Nou et al.   PROCEEDINGS OF THE INSTITUTION OF CIVIL ENGINEERS-WATER MANAGEMENT

A comparison between advanced hybrid machine learning algorithms and empirical equations applied to abutment scour depth prediction

(2021) Khabat Khosravi et al.   JOURNAL OF HYDROLOGY

Modeling spatial distribution of flow depth in fluvial systems using a hybrid two-dimensional hydraulic-multigene genetic programming approach

(2021) Xiaohui Yan et al.   JOURNAL OF HYDROLOGY

Discharge coefficient prediction of canal radial gate using neurocomputing models: an investigation of free and submerged flow scenarios

(2021) Hai Tao et al.   Engineering Applications of Computational Fluid Mechanics

Clear-water scour depth prediction in long channel contractions: Application of new hybrid machine learning algorithms

(2021) Khabat Khosravi et al.   OCEAN ENGINEERING

A Non-Tuned Machine Learning Technique for Abutment Scour Depth in Clear Water Condition

(2020) Hossein Bonakdari et al.   Water

A pareto design of evolutionary hybrid optimization of ANFIS model in prediction abutment scour depth

(2019) Hamed Azimi et al.   SADHANA-ACADEMY PROCEEDINGS IN ENGINEERING SCIENCES

An integrated framework of Extreme Learning Machines for predicting scour at pile groups in clear water condition

(2018) Isa Ebtehaj et al.   COASTAL ENGINEERING

Abutment scour depth modeling using neuro-fuzzy-embedded techniques

(2018) Fatemeh Moradi et al.   MARINE GEORESOURCES & GEOTECHNOLOGY

Mathematical expression of discharge capacity of compound open channels using MARS technique

(2017) ABBAS PARSAIE et al.   Journal of Earth System Science

Dynamic adjustments in bankfull width of a braided reach

(2017) Junqiang Xia et al.   PROCEEDINGS OF THE INSTITUTION OF CIVIL ENGINEERS-WATER MANAGEMENT

Local Scouring around Twin Bridge Piers in Open-Channel Flows

(2016) Hao Wang et al.   JOURNAL OF HYDRAULIC ENGINEERING

Prediction of scour depth around bridge piers using self-adaptive extreme learning machine

(2016) Isa Ebtehaj et al.   JOURNAL OF HYDROINFORMATICS

Wave runup prediction using M5′ model tree algorithm

(2016) S. Abolfathi et al.   OCEAN ENGINEERING

A New Approach for Modeling Sediment-Discharge Relationship: Local Weighted Linear Regression

(2016) Ozgur Kisi et al.   WATER RESOURCES MANAGEMENT

Local Scouring around Twin Bridge Piers in Open-Channel Flows

(2016) Hao Wang et al.   JOURNAL OF HYDRAULIC ENGINEERING

Estimation of scour depth below free overfall spillways using multivariate adaptive regression splines and artificial neural networks

(2015) Mehrshad Samadi et al.   Engineering Applications of Computational Fluid Mechanics

Local scour around bridge abutments under ice covered condition – an experimental study

(2015) Peng WU et al.   International Journal of Sediment Research

Application of Neural Networks To Scour Depth Prediction at The Bridge Abutments

(2014) Mohammad Muzzammil   Engineering Applications of Computational Fluid Mechanics

Permeability estimation in heterogeneous oil reservoirs by multi-gene genetic programming algorithm

(2014) Hossein Kaydani et al.   JOURNAL OF PETROLEUM SCIENCE AND ENGINEERING

ANFIS-based approach to scour depth prediction at abutments in armored beds

(2011) Mohammad Muzzammil et al.   JOURNAL OF HYDROINFORMATICS

Protection of bridge piers against scouring with tetrahedral frames

(2010) Hong-Wu TANG et al.   International Journal of Sediment Research

ANFIS approach to the scour depth prediction at a bridge abutment

(2010) Mohammad Muzzammil   JOURNAL OF HYDROINFORMATICS

Time to equilibrium scour at vertical-wall bridge abutments

(2010) A. H. Cardoso et al.   PROCEEDINGS OF THE INSTITUTION OF CIVIL ENGINEERS-WATER MANAGEMENT

Scour depth prediction at bridge piers by Anfis approach

(2009) M. Firat   PROCEEDINGS OF THE INSTITUTION OF CIVIL ENGINEERS-WATER MANAGEMENT

Multiple predictor smoothing methods for sensitivity analysis: Description of techniques

(2007) Curtis B. Storlie et al.   RELIABILITY ENGINEERING & SYSTEM SAFETY