Record Details

Ocean wave forecasting using recurrent neural networks

DRS at CSIR-National Institute of Oceanography

View Archive Info
 
 
Field Value
 
Title Ocean wave forecasting using recurrent neural networks
 
Creator Mandal, S.
Prabaharan, N.
 
Subject Wave forecasting
NARX recurrent network
 
Description The tremendous increase in offshore operational activities demands improved waveforecasting techniques. With the knowledge of accurate wave conditions, it is possible to carry out the marine activities such as offshore drilling, naval operations, merchant vessel routing, nearshore construction, etc. more efficiently and safely. This paper describes an artificial neural network, namely recurrent neural network with rprop update algorithm and is applied for wave forecasting. Measured ocean waves off Marmugao, west coast of India are used for this study. Here, the recurrent neural network of 3, 6 and 12 hourly wave forecasting yields the correlation coefficients of 0.95, 0.90 and 0.87 respectively. This shows that the wave forecasting using recurrent neural network yields better results than the previous neural network application.
 
Date 2006-06-27T06:42:30Z
2006-06-27T06:42:30Z
2006
 
Type Journal Article
 
Identifier Ocean Engineering 33 (10) 1401–1410p.
http://drs.nio.org/drs/handle/2264/155
 
Language en
 
Rights An edited version of this paper was published by Elsevier.
 
Format 254998 bytes
application/pdf
 
Publisher Elsevier