Record Details

Neural network-genetic programming for sediment transport

DSpace at IIT Bombay

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Field Value
 
Title Neural network-genetic programming for sediment transport
 
Creator SINGH, AK
DEO, MC
KUMAR, VS
 
Subject water-level
surf zone
predictions
models
wind
rates
coastal engineering
field testing & monitoring
mathematical modelling
 
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.
 
Publisher ICE PUBL
 
Date 2011-07-31T09:09:12Z
2011-12-26T12:52:55Z
2011-12-27T05:39:56Z
2011-07-31T09:09:12Z
2011-12-26T12:52:55Z
2011-12-27T05:39:56Z
2007
 
Type Article
 
Identifier PROCEEDINGS OF THE INSTITUTION OF CIVIL ENGINEERS-MARITIME ENGINEERING, 160(3), 113-119
1741-7597
http://dx.doi.org/10.1680/maen.2007.160.3.113
http://dspace.library.iitb.ac.in/xmlui/handle/10054/8057
http://hdl.handle.net/10054/8057
 
Language en