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 …
Estimating the density of hybrid nanofluids for thermal energy application: Application of non-parametric and evolutionary polynomial regression data-intelligent …
There is no doubt that density is one of the most crucial thermophysical properties of hybrid
nanofluids in thermal energy applications. Various research papers have been devoted to …
nanofluids in thermal energy applications. Various research papers have been devoted to …
On the applicability of maximum overlap discrete wavelet transform integrated with MARS and M5 model tree for monthly pan evaporation prediction
Accurate pan evaporation (E pan) prediction is a critical issue in water resources
management, particularly when designing and managing rural water resource systems, and …
management, particularly when designing and managing rural water resource systems, and …
Passive sonar target classification using multi-layer perceptron trained by salp swarm algorithm
M Khishe, H Mohammadi - Ocean Engineering, 2019 - Elsevier
Due to the variability of the radiated signal of the sonar targets, passive sonar target
classification is a challenging problem in the real world application. Adaptive Mel-frequency …
classification is a challenging problem in the real world application. Adaptive Mel-frequency …
Estimation of time dependent scour depth around circular bridge piers: application of ensemble machine learning methods
Scour is a major issue which impacts the life of a hydraulic structure. In this work, we have
considered a bridge as an example of a hydraulic structure. Scour depth increases or …
considered a bridge as an example of a hydraulic structure. Scour depth increases or …
Recent advances in the prediction of thermophysical properties of nanofluids using artificial intelligence
Recently, artificial intelligence (AI) methods have been widely welcomed due to the
weakness of traditional regression-based methods and their low accuracy in nonlinear …
weakness of traditional regression-based methods and their low accuracy in nonlinear …
NF-GMDH-Based self-organized systems to predict bridge pier scour depth under debris flow effects
M Najafzadeh, F Saberi-Movahed… - Marine Georesources …, 2018 - Taylor & Francis
Existence of debris structures inevitably ascends the rate of scour process around bridge
piers and flow area not only lead into remarkable deviation of flow but also increase the …
piers and flow area not only lead into remarkable deviation of flow but also increase the …
Indirect estimation of swelling pressure of expansive soil: GEP versus MEP modelling
In this article, detailed trials were undertaken to study the variation in genetic parameters in
order to formulate more robust predictive models using gene expression programming …
order to formulate more robust predictive models using gene expression programming …
Comparative analysis of GMDH neural network based on genetic algorithm and particle swarm optimization in stable channel design
Predicting the behavior and geometry of channels and alluvial rivers in which erosion and
sediment transport are in equilibrium is among the most important topics relating to river …
sediment transport are in equilibrium is among the most important topics relating to river …
Simulation of the depth scouring downstream sluice gate: The validation of newly developed data-intelligent models
Sluice gate is a common tool to regulate water conveyance systems like irrigation channels
or pipelines. The interaction between the flow and sediment particles downstream of the …
or pipelines. The interaction between the flow and sediment particles downstream of the …