Neuro-fuzzy GMDH based particle swarm optimization for prediction of scour depth at downstream of grade control structures
نویسندگان
چکیده
منابع مشابه
estimation of scour depth downstream of grade-control structures
grade control structures are hydraulic structures used to stabilize a river bed. scour downstream of this structure is the main cause of its failure. studies have developed numerous empirical relations for scour depth prediction that designers must choose between to decide the most effective equation for a specific application. this study tested the condition of submerged jets over beds of sedi...
متن کاملScour Downstream of Grade-control Structures
A theoretical investigation of local scour downstream of grade-control structures based on two-dimensional jet diffusion and particle stability is experimentally verified. Turbulent jet diffusion reduces fluid velocity near the bed particles and equilibrium scour is obtained when noncohesive bed particles cannot be removed from the scour hole. Equilibrium scour depth is written as a function of...
متن کاملApplication of improved neuro-fuzzy GMDH to predict scour depth at sluice gates
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...
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This paper proposes a modified particle swarm optimization algorithm (MPSO) to design adaptive neuro-fuzzy controller parameters for controlling the behavior of non-linear dynamical systems. The modification of the proposed algorithm includes adding adaptive weights to the swarm optimization algorithm, which introduces a new update. The proposed MPSO algorithm uses a minimum velocity threshold ...
متن کاملTitle Application of Improved Neuro-fuzzy Gmdh to Predict Scour Depth at Sluice Gates( Main Article ) Application of Improved Neuro-fuzzy Gmdh to Predict Scour Depth at Sluice Gates
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...
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ژورنال
عنوان ژورنال: Engineering Science and Technology, an International Journal
سال: 2015
ISSN: 2215-0986
DOI: 10.1016/j.jestch.2014.09.002