An improved neuro-fuzzy based group method of data handling using the particle swarm optimization (NF-GMDH-PSO) is developed as an adaptive learning network to predict the localized scour downstream of a sluice gate with an apron. The input characteristic parameters affecting the scour depth are the sediment size and its gradation, apron length, sluice gate opening, and the flow conditions upst...

Most isolators have numerous displacements due to their low stiffness and damping properties. Accordingly, the supplementary systems vital roles in enhancement lower isolation system displacement. Nevertheless, many cases, even by utilising additional dampers systems, occurrence of residual displacement is inevitable. To address this issue, study, a new smart type bar hysteretic equipped with s...

In this paper, we propose the design procedure of advanced Polynomial Neural Networks(PNN) architecture fo r optimal model identification of complex and nonlinear system. The proposed PNN architecture is presented as the generic and advanced type. The essence of the design procedure dwells on the Group Method of Data Handling (GMDH). PNN is a flexible neural architecture whose structure is deve...

Abstract In this research, water's surface elevation in compound channels with converging and diverging floodplains using soft computing models including the Multi-Layer Perceptron Neural Network (MLPNN), Group Method of Data Handling (GMDH), Neuro-Fuzzy (NF-GMDH) Support Vector Machine (SVM) was modeled predicted. For purpose, laboratory data published field were used. Parameters convergence a...

The safety of power transmission systems in wind turbines is crucial to the turbine’s stable operation and has attracted a great deal attention condition monitoring farms. Many different intelligent schemes have been developed detect occurrence defects via supervisory control data acquisition (SCADA) data, which most commonly applied system turbines. Normally, artificial neural networks are est...

Abstract Weirs are one of the most common hydraulic structures used in water engineering projects. In this research, a group method data handling (GMDH) was developed to estimate energy dissipation flow passing over labyrinth weirs with triangular and trapezoidal plans. To compare performance model other types soft computing models, multilayer perceptron neural network (MLPNN) developed. The di...

Shear wave velocity (VS) is one of the most important parameters in deep and surface studies estimation geotechnical design parameters. This parameter widely utilized to determine permeability porosity, lithology, rock mechanical parameters, fracture assessment. However, measuring this either impossible or difficult due challenges related horizontal deviation wells difficulty reaching cores. Ar...