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PREDICTION OF MAXIMUM WAVE-INDUCED LIQUEFACTION IN POROUS SEABED USING MULTI-ARTIFICIAL NEURAL NETWORKMODEL (2005)
In the present study, a data dependent approach for the prediction of the wave-induced liquefaction depth in a porous seabed is proposed, based on a multi-artificial neural network (MANN) method. This study demonstrates the capacity of the proposed MANN model and provides coastal engineers with another effective tool to analyse the stability of the marine sediment.
Reference:
Department of Civil Engineering, Research Report R854
Department of Civil Engineering, Research Report R854
Organization:
The University of Sydney, Department of Civil Engineering
The University of Sydney, Department of Civil Engineering
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