Stacked ensemble model for optimized prediction of triangular side orifice discharge coefficient
This research focuses on optimizing the prediction of discharge coefficient (Cd) of triangular
side orifices (TSO) using a novel stacked model (SM) incorporating five machine learning …
side orifices (TSO) using a novel stacked model (SM) incorporating five machine learning …
A review of studies on estimating the discharge coefficient of flow control structures based on the soft computing models
The discharge coefficient (Cd) plays a vital role in the accurate design and safety of weirs,
spillways, and dams. In the last decade, Soft Computing (SC) models, which showed …
spillways, and dams. In the last decade, Soft Computing (SC) models, which showed …
Performance analysis of different ANN modelling techniques in discharge prediction of circular side orifice
A side orifice is a mechanism integrated into one or both side walls of a canal to redirect or
release water from the main channel, and it has numerous applications in environmental …
release water from the main channel, and it has numerous applications in environmental …
Combination of computational fluid dynamics, adaptive neuro-fuzzy inference system, and genetic algorithm for predicting discharge coefficient of rectangular side …
Side orifices are used to divide and adjust flow into aeration ponds, sedimentation
reservoirs, flocculation units, and other hydraulic and environmental areas. In this study, the …
reservoirs, flocculation units, and other hydraulic and environmental areas. In this study, the …
Pareto genetic design of group method of data handling type neural network for prediction discharge coefficient in rectangular side orifices
The powerful method of Group Method of Data Handling (GMDH) was used for estimating
the discharge coefficient of a rectangular side orifice. First, the existing equations for …
the discharge coefficient of a rectangular side orifice. First, the existing equations for …
Estimation of triangular side orifice discharge coefficient under a free flow condition using data-driven models
In irrigation channel system, diverse side orifice shapes (eg, circular, rectangular, or
triangular) are widely designed for flow control and regulation. Hence, accurate estimating …
triangular) are widely designed for flow control and regulation. Hence, accurate estimating …
Predicting discharge coefficient of triangular side orifice using ANN and GEP models
This study utilized machine learning models to predict the discharge coefficient for a sharp-
crested triangular side orifice (TSO). The chosen models were the Artificial Neural Network …
crested triangular side orifice (TSO). The chosen models were the Artificial Neural Network …
Toward the accurate estimation of elliptical side orifice discharge coefficient applying two rigorous kernel-based data-intelligence paradigms
In the present study, two kernel-based data-intelligence paradigms, namely, Gaussian
Process Regression (GPR) and Kernel Extreme Learning Machine (KELM) along with …
Process Regression (GPR) and Kernel Extreme Learning Machine (KELM) along with …
Predicting discharge coefficient of triangular side orifice using LSSVM optimized by gravity search algorithm
Side orifices are commonly installed in the side of a main channel to spill or divert some of
the flow from the source channel to lateral channels. The aim of the present study is the …
the flow from the source channel to lateral channels. The aim of the present study is the …
Flow through lateral circular orifice under free and submerged flow conditions
Open channels, with flow diversion structures such as orifices, weirs and sluice gates; are
prevalent in irrigation systems, both for conveying water from the source to the irrigated …
prevalent in irrigation systems, both for conveying water from the source to the irrigated …