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Analysis of wave directional spreading using neural networks

DSpace at IIT Bombay

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Field Value
 
Title Analysis of wave directional spreading using neural networks
 
Creator DEO, MC
GONDANE, DS
KUMAR, VS
 
Subject spectrum
pitch
buoy
neural networks
wave energy
wave dispersion
 
Description The short-term directional spreading of wave energy at a given location is popularly modeled with the help of the Cosine Power model. This model is oriented mainly around value of the spreading parameter involved in its expression. This paper describes how a representative spreading parameter could be arrived at from easily available wave parameters such as significant wave height and average zero-cross wave period, using the technique of neural networks. It is shown that training of the network with the help of observed directional wave (e.g., heave-pith-roll buoy) data could be used to establish dependency of the spreading parameter on more commonly available unidirectional wave parameters derived from, for example, pressure gauge data. It is found that such a procedure involving neural networks is much more accurate and reliable than the conventional approach based on statistical linear regression.
 
Publisher ASCE-AMER SOC CIVIL ENGINEERS
 
Date 2011-07-18T10:47:39Z
2011-12-26T12:50:34Z
2011-12-27T05:36:01Z
2011-07-18T10:47:39Z
2011-12-26T12:50:34Z
2011-12-27T05:36:01Z
2002
 
Type Article
 
Identifier JOURNAL OF WATERWAY PORT COASTAL AND OCEAN ENGINEERING-ASCE, 128(1), 30-37
0733-950X
http://dx.doi.org/10.1061/(ASCE)0733-950X(2002)128:1(30)
http://dspace.library.iitb.ac.in/xmlui/handle/10054/4886
http://hdl.handle.net/10054/4886
 
Language en