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RBF network for spatial mapping of wave heights

DSpace at IIT Bombay

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Title RBF network for spatial mapping of wave heights
 
Creator KALRA, RUCHI
DEO, MC
KUMAR, RAJ
AGARWAL, VIJAY K
 
Subject coastal engineering
transfer functions
mathematical models
remote sensing
 
Description Satellite-based information on significant waves is increasingly being made available to ocean scientists and engineers at low costs. While such measurements have a number of useful applications the manner with which the satellites sense the waves limits their applications to nearshore locations. This paper discusses an approach based on the radial basis function (RBF) type of artificial neural networks to map remote-sensed deep-water waves with the coastal waves. Significant wave heights at a number of locations over a track parallel to the coastline are used to estimate the significant wave heights at a nearshore site. The success of the method adopted was confirmed from the satisfactory error measures it produced during the testing carried out following the network training. It was also found that the satellite data need a ‘local tuning’ as done in the RBF before their further use in network computations. This work also highlighted importance of innovative approaches to calibrate a network on the basis of a given data set.
 
Publisher Elsevier
 
Date 2009-03-20T05:59:17Z
2011-11-25T19:53:53Z
2011-12-26T13:07:57Z
2011-12-27T05:55:58Z
2009-03-20T05:59:17Z
2011-11-25T19:53:53Z
2011-12-26T13:07:57Z
2011-12-27T05:55:58Z
2005
 
Type Article
 
Identifier Marine Structures 18(3), 289-300
0951-8339
http://dx.doi.org/10.1016/j.marstruc.2005.09.003
http://hdl.handle.net/10054/1035
http://dspace.library.iitb.ac.in/xmlui/handle/10054/1035
 
Language en