A systematic review of machine learning techniques and applications in soil improvement using green materials
According to an extensive evaluation of published studies, there is a shortage of research on
systematic literature reviews related to machine learning prediction techniques and …
systematic literature reviews related to machine learning prediction techniques and …
Forecasting of groundwater level fluctuations using ensemble hybrid multi-wavelet neural network-based models
Accurate prediction of groundwater level (GWL) fluctuations can play an important role in
water resources management. The aims of the research are to evaluate the performance of …
water resources management. The aims of the research are to evaluate the performance of …
A new development of ANFIS–GMDH optimized by PSO to predict pile bearing capacity based on experimental datasets
Prediction of ultimate pile bearing capacity with the aid of field experimental results through
artificial intelligence (AI) techniques is one of the most significant and complicated problem …
artificial intelligence (AI) techniques is one of the most significant and complicated problem …
Assessment of scouring around spur dike in cohesive sediment mixtures: A comparative study on three rigorous machine learning models
Spur dike has been widely used as one of the river training structures to increase the
stability of riverbanks and embankments. Scour around spur dikes affects their hydraulic …
stability of riverbanks and embankments. Scour around spur dikes affects their hydraulic …
Groundwater level response identification by hybrid wavelet–machine learning conjunction models using meteorological data
Due to its heterogeneous and complex nature, groundwater modeling needs great effort to
quantify the aquifer, a crucial tool for policymakers and hydrogeologists to understand the …
quantify the aquifer, a crucial tool for policymakers and hydrogeologists to understand the …
[HTML][HTML] GMDH-type neural network approach for modeling the discharge coefficient of rectangular sharp-crested side weirs
Estimating the discharge coefficient using hydraulic and geometrical specifications is one of
the influential factors in predicting the discharge passing over a side weir. Taking into …
the influential factors in predicting the discharge passing over a side weir. Taking into …
Prediction of maximum scour depth near spur dikes in uniform bed sediment using stacked generalization ensemble tree-based frameworks
The scouring process near spur dikes could jeopardize the stability of riverbanks. Thus,
accurate estimation of the maximum scour depth near spur dikes is crucial in river …
accurate estimation of the maximum scour depth near spur dikes is crucial in river …
NF-GMDH-Based self-organized systems to predict bridge pier scour depth under debris flow effects
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 …
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 …
Evaluation of neuro-fuzzy GMDH-based particle swarm optimization to predict longitudinal dispersion coefficient in rivers
In the present research, neuro-fuzzy-based group method of data handling (NF-GMDH) has
been applied to evaluate the longitudinal dispersion coefficient in rivers. The NF-GMDH …
been applied to evaluate the longitudinal dispersion coefficient in rivers. The NF-GMDH …