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Neural network-genetic programming for sediment transport

DRS at CSIR-National Institute of Oceanography

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Title Neural network-genetic programming for sediment transport
 
Creator Singh, A.K.
Deo, M.C.
SanilKumar, V.
 
Subject sediment transport
longshore sediment transport
coastal engineering
harbours
computer programmes
 
Description The planning, operation, design and maintenance of almost all harbour and coastal engineering facilities call for an estimation of the longshore sediment transport rate. This is currently and popularly done with the help of empirical equations. In this paper an alternative approach based on a combination of two soft computing tools, namely neural networks and genetic programming, is suggested. Such a combination was found to produce better results than the individual use of neural networks or genetic programming. The ability of the neural network to approximate a non-linear function coupled with the efficiency of the genetic programming to make an optimum search over the solution domain seems to result in a better prediction.
 
Date 2008-01-31T04:43:36Z
2008-01-31T04:43:36Z
2007
 
Type Journal Article
 
Identifier Proceedings of Institution of Civil Engineers - Maritime Enginerring, Vol.160; 113-119p.
http://drs.nio.org/drs/handle/2264/701
 
Language en
 
Publisher Institution of Civil Engineers