Particle Swarm Optimization Algorithm Based Feed Forward Neural Network for Uplift Pressure Estimation in Diversion Dams
Publish place: 09th International River Engineering Conference
Publish Year: 1391
Type: Conference paper
Language: English
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IREC09_159
Index date: 9 March 2013
Particle Swarm Optimization Algorithm Based Feed Forward Neural Network for Uplift Pressure Estimation in Diversion Dams abstract
In this study a procedure for uplift pressure estimation under a diversion dam using Artificial Neural Network (ANN) and Particle Swarm Optimization (PSO) algorithm is proposed. Firstly the Laplace equation is solved and piezometric head and uplift pressure are computed under the dam. Then ANN is trained based on PSO algorithm for uplift pressure prediction in different points of considered model and the results are compared with actual data. The inputs and outputs of ANN are coordinates of different points under the dam and corresponding uplift pressures, respectively. The test results show the uplift pressure is predicted with good accuracy
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