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dc.contributor.authorMandal, S.
dc.contributor.authorRao, S.
dc.contributor.authorManjunath, Y.R.
dc.contributor.authorKim, D.H.
dc.date.accessioned2008-01-31T04:40:56Z
dc.date.available2008-01-31T04:40:56Z
dc.date.issued2007
dc.identifier.citationFourth Indian National Conference on Harbour and Ocean Engineering (INCHOE-2007) held at the National Institute of Technology, Surathkal during 12-14 December 2007 ,eds. by: Rao, S.; Shirlal, K.G. 551-560p.
dc.identifier.urihttp://drs.nio.org/drs/handle/2264/698
dc.description.abstractThe stability analysis of coastal structure is very important because it involves many design parameters to be considered for the safe and economical design of structure. In the present study neural network technique is adopted to predict the stability number and damage levels of rubble mound breakwater. Four network models were constructed based on the input parameters, which affect the stability of breakwater. A good correlation is obtained between network predicted stability number and estimated ones.
dc.language.isoen
dc.publisherNational Institute of Technology, Surathkal
dc.titleStability analysis of rubblemound breakwater using ANN
dc.typeConference Article


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