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Wavelet-linear genetic programming: A new approach for modeling monthly streamflow
The streamflows are important and effective factors in stream ecosystems and its accurate
prediction is an essential and important issue in water resources and environmental …
prediction is an essential and important issue in water resources and environmental …
Machine learning approaches for adequate prediction of flow resistance in alluvial channels with bedforms
In natural rivers, flow conditions are mainly dependent on flow resistance and type of
roughness. The interactions among flow and bedforms are complex in nature as bedform …
roughness. The interactions among flow and bedforms are complex in nature as bedform …
Evaluation of ultimate conditions of FRP-confined concrete columns using genetic programming
A large database consisting of 832 axial compression tests results of fiber reinforced
polymer (FRP)-confined concrete specimens was assembled. Using the test database …
polymer (FRP)-confined concrete specimens was assembled. Using the test database …
Modeling the infiltration process with soft computing techniques
Abstract Knowledge of infiltration process is very helpful in designing and planning of
irrigation networks. In this study, the Artificial Neural Network (ANN) technique was used to …
irrigation networks. In this study, the Artificial Neural Network (ANN) technique was used to …
Comparative study on the machine learning and regression-based approaches to predict the hydraulic jump sequent depth ratio
The hydraulic jump phenomenon plays a significant role in dissipating the energy of the
upstream current in either natural or artificial waterways. River's bed roughness is defined as …
upstream current in either natural or artificial waterways. River's bed roughness is defined as …
Evaluation of GA-SVR method for modeling bed load transport in gravel-bed rivers
The aim of the present study is to apply Support Vector Regression (SVR) method to predict
bed load transport rates for three gravel-bed rivers. Different combinations of hydraulic …
bed load transport rates for three gravel-bed rivers. Different combinations of hydraulic …
[HTML][HTML] Develo** a model based on the radial basis function to predict the compressive strength of concrete containing fly ash
A supplemental pozzolanic material such as fly ash may result in a reduction in the
concrete's adverse environmental effect by reducing the discharge of carbon dioxide …
concrete's adverse environmental effect by reducing the discharge of carbon dioxide …
Develo** extended and unscented kalman filter-based neural networks to predict cluster-induced roughness in gravel bed rivers
Flow resistance in natural gravel-bed rivers must be precisely predicted in order for water-
related infrastructure to be designed effectively. Cluster microforms are significant factors in …
related infrastructure to be designed effectively. Cluster microforms are significant factors in …
Evaluation of a two-stage SVM and spatial statistics methods for modeling monthly river suspended sediment load
This study is aimed on successful modeling of Ajichay River Suspended Sediment Load
(SSL) which is significant object in watershed planning and management. Therefore, a two …
(SSL) which is significant object in watershed planning and management. Therefore, a two …
Revisiting the estimation of Colebrook friction factor: a comparison between artificial intelligence models and CW based explicit equations
M Niazkar - KSCE Journal of Civil Engineering, 2019 - Springer
Abstract Application of Colebrook-White (CW) relation for calculating Darcy-Weisbach (DW)
friction factor has been widely accepted in literature. However, its implicit formation made it …
friction factor has been widely accepted in literature. However, its implicit formation made it …