The tremendous increase in offshore operational activities demands improved wave forecasting 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 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.


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    Title :

    Ocean wave forecasting using recurrent neural networks


    Additional title:

    Meereswellen-Vorhersage unter Verwendung rekursiver neuronaler Netze


    Contributors:
    Mandal, S. (author) / Prabaharan, N. (author)

    Published in:

    Ocean Engineering ; 33 , 10 ; 1401-1410


    Publication date :

    2006


    Size :

    10 Seiten, 14 Quellen




    Type of media :

    Article (Journal)


    Type of material :

    Print


    Language :

    English




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