Neuro-fuzzy and soft computing: a computational approach to learning and machine intelligence
Neuro-fuzzy and soft computing: a computational approach to learning and machine intelligence
Intelligent Control Systems Using Soft Computing Methodologies
Intelligent Control Systems Using Soft Computing Methodologies
Generalized regression neural network in modelling river sediment yield
Advances in Engineering Software
Hybrid neural network models for hydrologic time series forecasting
Applied Soft Computing
Mathematical and Computer Modelling: An International Journal
Rainfall-runoff model usingan artificial neural network approach
Mathematical and Computer Modelling: An International Journal
Artificial neural network approaches for prediction of backwater through arched bridge constrictions
Advances in Engineering Software
Tax forecasting theory and model based on SVM optimized by PSO
Expert Systems with Applications: An International Journal
Support vector regression based modeling of pier scour using field data
Engineering Applications of Artificial Intelligence
Expert Systems with Applications: An International Journal
Computer Methods and Programs in Biomedicine
Generalized classifier neural network
Neural Networks
Engineering Applications of Artificial Intelligence
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In this study, Generalized Regression Neural Networks (GRNN) and Feed Forward Neural Networks (FFNN) approaches are used to predict the scour depth around circular bridge piers. Hundred and sixty five data collected from various experimental studies, are used to predict equilibrium scour depth. The model consisting of the combination of dimensional data involving the input variables is constructed. The performance of the models in training and testing sets are compared with observations. Then, the model is also tested by Multiple Linear Regression (MLR) and empirical formula. The results of all approaches are compared in order to get more reliable comparison. The results indicated that GRNN can be applied successfully for prediction of scour depth around circular bridge piers.