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Genetic programming in water resources engineering: A state-of-the-art review
The state-of-the-art genetic programming (GP) method is an evolutionary algorithm for
automatic generation of computer programs. In recent decades, GP has been frequently …
automatic generation of computer programs. In recent decades, GP has been frequently …
The application of soft computing models and empirical formulations for hydraulic structure scouring depth simulation: a comprehensive review, assessment and …
Prediction of scouring characteristics is one of the major issues in hydraulic and hydrology
engineering. Over the past five decades, numerous empirical formulations (EFs), based on …
engineering. Over the past five decades, numerous empirical formulations (EFs), based on …
A novel boosting ensemble committee-based model for local scour depth around non-uniformly spaced pile groups
Prediction of the scour depth around non-uniformly spaced pile groups (PGs) is one of the
most complex problems is hydraulic engineering. Different types of empirical methods have …
most complex problems is hydraulic engineering. Different types of empirical methods have …
Explicit data-driven models for prediction of pressure fluctuations occur during turbulent flows on slo** channels
Pressure fluctuations are among the favorite topics for hydraulic engineers due to their
critical role in the design and safe operation of hydraulic structures. In this study, three …
critical role in the design and safe operation of hydraulic structures. In this study, three …
Artificial intelligence models for prediction of the aeration efficiency of the stepped weir
Stepped weir is a commonly used hydraulic structure in water treatment plants to enhance
the air-water transfer of oxygen or nitrogen and volatile organic components. The flow …
the air-water transfer of oxygen or nitrogen and volatile organic components. The flow …
Forecasting of time-dependent scour depth based on bagging and boosting machine learning approaches
Forecasting the time-dependent scour depth (dst) is very important for the protection of
bridge structures. Since scour is the result of a complicated interaction between structure …
bridge structures. Since scour is the result of a complicated interaction between structure …
Introducing high-order response surface method for improving scour depth prediction downstream of weirs
Scour depth downstream of weirs is considered one of the most important hydraulic
problems, which greatly influences the stability of weirs. Recently, artificial intelligence (AI) …
problems, which greatly influences the stability of weirs. Recently, artificial intelligence (AI) …
Estimation of the Darcy–Weisbach friction factor for ungauged streams using gene expression programming and extreme learning machines
The most uncertain parameter in determining the stage-discharge relationship of an
ungauged stream is the friction factor, a parameter for which a gauged stream can be back …
ungauged stream is the friction factor, a parameter for which a gauged stream can be back …
Effects of interlocked carpet ramps on upstream movement of brown trout Salmo trutta in an upland stream
K Plesinski, CN Gibbins… - Journal of …, 2020 - Taylor & Francis
This paper assesses the extent to which Interlocked Carpet Block Ramps (ICBRs) impede
the upstream movement of brown trout Salmon trutta (L. 1758). It presents model simulations …
the upstream movement of brown trout Salmon trutta (L. 1758). It presents model simulations …
[HTML][HTML] Scouring depth assessment downstream of weirs using hybrid intelligence models
Considering the scouring depth downstream of weirs is a challenging issue due to its effect
on weir stability. The adaptive neuro-fuzzy inference systems (ANFIS) model integrated with …
on weir stability. The adaptive neuro-fuzzy inference systems (ANFIS) model integrated with …