IDEAS home Printed from https://ideas.repec.org/a/adp/jofoaj/v6y2018i1p48-56.html
   My bibliography  Save this article

Real Time Wave Prediction Using Neural Networks at Karwar, West Coast of India

Author

Listed:
  • Deepthi I Gopinath

    (Rajagiri School of Engineering and Technology, APJ Abdul Kalam Technological University, India)

  • Dwarakish GS

    (National Institute of Technology Karnataka, India)

Abstract

The knowledge of ocean waves is an essential prerequisite for almost all activities in ocean. Traditional methods have disadvantages of excessive data requirement, time consumption and are tedious to carry out. ANN is being widely applied in coastal engineering field since last two decades in variety of time series forecasting. Study has been carried out to predict waves using FFBP and NARX networks. Wave data obtained from INCOIS is made use in the present study. Effect of network architecture on the performance of the model has been studied. It was found that for time series prediction NARX network outperforms FFBP.

Suggested Citation

  • Deepthi I Gopinath & Dwarakish GS, 2018. "Real Time Wave Prediction Using Neural Networks at Karwar, West Coast of India," Oceanography & Fisheries Open Access Journal, Juniper Publishers Inc., vol. 6(1), pages 48-56, February.
    • Handle: RePEc:adp:jofoaj:v:6:y:2018:i:1:p:48-56
    DOI: 10.19080/OFOAJ.2018.06.555683
    as

    Download full text from publisher

    File URL: https://juniperpublishers.com/ofoaj/pdf/OFOAJ.MS.ID.555683.pdf
    Download Restriction: no
    File URL: https://juniperpublishers.com/ofoaj/OFOAJ.MS.ID.555683.php
    Download Restriction: no
    File URL: https://libkey.io/10.19080/OFOAJ.2018.06.555683?utm_source=ideas
    LibKey link: if access is restricted and if your library uses this service, LibKey will redirect you to where you can use your library subscription to access this item
    ---><---

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:adp:jofoaj:v:6:y:2018:i:1:p:48-56. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    We have no bibliographic references for this item. You can help adding them by using this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: Robert Thomas (email available below). General contact details of provider: .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.