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Stability prediction of berm breakwater using neural network

DRS at CSIR-National Institute of Oceanography

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Title Stability prediction of berm breakwater using neural network
 
Creator Mandal, S.
Rao, S.
Manjunath, Y.R.
 
Subject breakwater
neural network
berms
 
Description In the present study, an artificial neural network method has been applied to predict the stability of berm breakwaters. Four neural network models are constructed based on the parameters which influence the stability of breakwater. Training and testing of the network models are carried out for different hidden nodes and epochs. The network models' results are compared with the empirical relationships. It is observed that the correlation between predicted stability values by the network models and estimated values are in good agreement
 
Date 2010-06-04T11:15:45Z
2010-06-04T11:15:45Z
2008
 
Type Conference Article
 
Identifier Seventh International Conference on Coastal and Port Engineering in Developing Countries - Best practices in the coastal environment. Proceedings. 24-28 February 2008.Dubai Municipality; Dubai; UAE; 11 pp.
http://drs.nio.org/drs/handle/2264/3618
 
Language en
 
Rights Copyright [2008]. All efforts have been made to respect the copyright to the best of our
knowledge. Inadvertent omissions, if brought to our notice, stand for correction and withdrawal of document from this repository.
 
Publisher Dubai Municipality