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Wave parameter estimation using neural networks

DSpace at IIT Bombay

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Field Value
 
Title Wave parameter estimation using neural networks
 
Creator AGRAWAL, JD
DEO, MC
 
Subject neural networks
parameter estimation
regression analysis
water waves
 
Description At different stages of wave analysis and wave-based structural design it becomes necessary to know interrelationships among certain characteristic wave parameters. This knowledge is currently obtained by using empirical spectral or statistical regression schemes, which may suffer from uncertainties and approximations. This paper presents an alternative to them, which is based on the neural network approach. Networks were developed in order to estimate values of average zero-cross wave period, peak-spectral period, maximum spectral energy density and maximum wave height from the given value of significant wave height and also to evaluate spectral width parameter from the spectral narrowness parameter. They were trained with respect to observed data at an offshore site along the east coast of India. The trained network when tested revealed that it formed a useful tool in exploring the interdependency in between the parameters. When the underlying relation structure was hazier and uncertain the neural networks were more accurate than the statistical non-linear regression methods in estimating one parameter from the specified value of the other.
 
Publisher Elsevier
 
Date 2009-03-20T05:58:39Z
2011-11-25T19:51:23Z
2011-12-26T13:07:37Z
2011-12-27T05:55:39Z
2009-03-20T05:58:39Z
2011-11-25T19:51:23Z
2011-12-26T13:07:37Z
2011-12-27T05:55:39Z
2004
 
Type Article
 
Identifier Marine Structures 17(7), 536-550
0951-8339
http://dx.doi.org/10.1016/j.marstruc.2005.01.001
http://hdl.handle.net/10054/1030
http://dspace.library.iitb.ac.in/xmlui/handle/10054/1030
 
Language en