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Application of artificial neural network model in estimation of wave spectra

DSpace at IIT Bombay

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Title Application of artificial neural network model in estimation of wave spectra
 
Creator NAMEKAR, S
DEO, MC
 
Subject networks
neural networks
wave spectra
wave measurement
 
Description Estimation of a wave spectrum from specified values of significant wave heights and average zero cross periods is traditionally made through empirical equations like those of Pierson-Moskowitz and Jonswap. This technical note discusses an alternative scheme based on artificial neural network. Wave spectral distribution over various wave frequencies was obtained for given values of significant wave height and period using feedforward back-propagation network. The rider buoy data at a site off the United States coast monitored by the National Data Buoy Center was used as a basis for network development. Qualitative as well as quantitative comparisons of the network-yielded spectra with target spectra indicated that the developed network could model the wave spectral shapes in a better way than commonly used theoretical spectra.
 
Publisher ASCE-AMER SOC CIVIL ENGINEERS
 
Date 2011-07-18T10:50:28Z
2011-12-26T12:50:34Z
2011-12-27T05:36:02Z
2011-07-18T10:50:28Z
2011-12-26T12:50:34Z
2011-12-27T05:36:02Z
2006
 
Type Article
 
Identifier JOURNAL OF WATERWAY PORT COASTAL AND OCEAN ENGINEERING-ASCE, 132(5), 415-418
0733-950X
http://dx.doi.org/10.1061/(ASCE)0733-950X(2006)132:5(415)
http://dspace.library.iitb.ac.in/xmlui/handle/10054/4887
http://hdl.handle.net/10054/4887
 
Language en