Using Artificial Neural Network In Stability Analysis Of Rubble Mound Breakwaters
published by Tishreen University
in 2015
in
and research's language is
العربية
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Abstract in English
The stability analysis of coastal structure is very important because it involves many
design parameter s to be considered for the save and economical design of structure.
In the present study neural network technique is adopted to predict the stability
number of rubble mound breakwater.
One model is constructed based on the parameters which influence on the stability of
rubble mound breakwater, the back propagation algorithm is used in training network .
Agood correlation is obtained between network predicted stabilityand estimated
ones.
Correlation coefficient=0.88.
References used
MANDAL,S; RAO.S; MANJUNATHA,R.Y; KIM.D.H. Stability Analysis Rubble Mound Breakwater Using ANN, fourth Indian National Conference on Harbour and Ocean Engineering, 2007, 551-560
MANDAL,S; RAO.S; MANJUNATHA,R.Y; KIM.D.H. Stability prediction of Berm Breakwater Using Neural Networks, Dubai, 2008, 1-11
MEER,V.D. Rock Slops and Gravel Beaches Under Wave attack, phD Thesis, Delft University of Technology, 1988, 214